SnapLogic Reviews

I have been working in the integration space for more than 10 years, starting my career with SnapLogic, which is a good iPaaS tool for integration. Even taking a look at the market caps, SnapLogic is doing very well.

In any organization when an integration requirement comes, whether it is an on-premises to cloud connect, or whether it is any kind of migration or grabbing data from SaaS tools such as Workday, NetSuite or Salesforce, SnapLogic is a best fit in the market. It has lots of pre-built connectors called Snap-packs, which come pre-built with SnapLogic licenses, so you can make use of all those together. This is the main use case that motivates us to use SnapLogic. There are so many features, and from the user perspective, it is very user-friendly. It is a low-code, no-code platform that can be used for any integration use cases.

I recently completed a Workday migration project. Hitachi wanted a Workday system to be a single source of truth across all Hitachi organization and sub-organization. There we got a use case to integrate the Workday system with all the downstream systems, whether it is for HDS or Hitachi Digital Services, Hitachi Vantara or GlobalLogic. SnapLogic was used in that case. There are so many inbound and outbound integrations, and we integrated two or three kinds of authentication to pull out data from Workday and also to send out any kind of inbound data to Workday. This was our main use case and it was a very big project in Hitachi Digital, the Phoenix project, and all those implementations happened on SnapLogic.

I can also mention that we recently built a professional service automation with the help of SnapLogic, which is the integration between Salesforce and Oracle ERP system, Oracle HCM system, which is used for the HR system in GlobalLogic. Lots of insourced data are brought to the Salesforce platform so that they can tag the right resource to the right project and they can also check the utilization. Professional service automation is a kind of automation that will tag the right people at the right skill set on the right project. For all those to achieve, we used SnapLogic to integrate between Salesforce and the Oracle system.

There are so many strengths of SnapLogic. The first one is that it is user-friendly. It is a low-code, no-code platform where you can drag and drop the Snap-packs. SnapLogic's visual drag-and-drop interface makes it very easier for the developers and integration teams to build any kind of pipelines that require very minimal coding.

There is an extensive connection library. SnapLogic's iPaaS platform offers a large collection of pre-built connectors, called Snaps in SnapLogic. This will always simplify integration with cloud applications, whether it is a cloud application or whether you have to connect with any kind of on-premises application or enterprise system. Deployment and development are very fast in SnapLogic compared to traditional coding approaches such as creating APIs via Python and streaming on some other platforms. You can create your pipeline and deploy it with the help of API management, which reduces the time for any developer. It also has strong cloud integration capabilities.

SnapLogic has the Ultra feature and API management as features. Enhanced account encryption is there, where all account credentials are well encrypted at the backend of the platform. SnapLogic has become a valuable component of our integration strategy in the market, in the India region, APAC region or in the US. Monitoring is also very easy with operational visibility provided through central monitoring in the monitor tab of SnapLogic. Maintenance effort is very minimal, and well documentation is provided. You can refer to any of the Snap documentation if you want to see anything.

Earlier, the organization was following a manual approach. Five years back, they were following a manual approach. Once SnapLogic came into place, there are so many characteristics where some individual teams are using Salesforce, Workday, or different enterprise systems. SnapLogic provides a consolidated platform where we can integrate all the data and share it with the team. We have built lots of automations for our current organization, which is reducing very manual effort. Earlier manual effort was more, but now all the things are automated from one system to another system. Anytime, anywhere, anything if any team wants, we can send that data.

Earlier we were having three to four resources in each individual team taking care of these things, but with the help of automation, everything is automated. The platform team is also doing very well, releasing updates every quarter or every month. They recently released version 4.44. So improvement wise, they are doing very well.

They can enhance the error handling and debugging part. Troubleshooting complex pipeline failures can be time-consuming. We are spending a lot of time on error handling. More detailed error messages and root cause analysis tools can be added, which will definitely improve the developer experience.

In the Ultra real-time integrations, we can monitor the last execution history of only 100 runs. That can be increased, which would be one of the platform improvements that can really be taken. However, they are doing very well because lots of ChatGPTs and AI assistants have been added in the last two years, which makes a very good effect.

SnapLogic is the only platform that provides this kind of visibility to the developers. Anyone, even if they have low experience and are starting their IT careers, can directly jump in and learn SnapLogic. The documentation is very easy to learn. Anyone, even a layman, can refer to that documentation and go through its Snap-pack to understand what configuration has to be done to use this Snap-pack. This makes SnapLogic definitely exceptional in the market. You won't find such comprehensive documentation in other iPaaS tools. The draggable packs truly demonstrate its power in usability.

Governance and security are also well in place in SnapLogic, but there are areas for improvement. They can add more granular role and permission controls that provide greater flexibility for large enterprises. For example, if you have to provide access to 70 users in one shot, that can be improved. More improvements in policy enforcement capabilities are possible as well.

SnapLogic can improve the data lineage part to achieve better end-to-end visibility into data movement. Also, during validation, we can only see up to 2,000 records currently. They can increase that from 2,000 to 20,000.

They can put more visibility on costs and resource visibility, with better reporting on platform usage, processing consumption, and cost optimization opportunities.

I have been using SnapLogic for more than 10 years.

SnapLogic is stable.

SnapLogic has many strengths in terms of scalability. It handles growing data volumes and you can process numerous volumes as per business needs. When expenditure expands, such as when the business is expanding and the number of employees increases, there won't be any effect on integration. It supports enterprise-wide integration and has a cloud-native architecture. Everything is on the cloud, and you don't have to worry about platform maintenance. Hybrid and multi-cloud support is there, with many reusable integration assets. The throughput is very high in this platform.

Overall, combining all those things, it ultimately supports business growth. New applications, data sources, and business processes can be added without major architectural changes. If you need to deploy your on-premises application, you can. If you need to use cloud-to-cloud connectivity, you can go to the cloud architecture, but all are in a single place. You just have to log in to elastic.snaplogic.com, and your entire solution is there.

Gyan Solution is the organization that provides customer support. When we create any ticket in Zendesk, they quickly respond. If their development team is needed for some assistance, they coordinate very well from the US to India, because Gyan Solution is in India, Hyderabad, and the complete core development team is in the US.

They are providing the best customer support to the organization and the vendors. Whatever they do, they keep you informed over the ticket in Zendesk every minute. They are also very good in follow-ups; if you are not responding for eight weeks, they will follow up with you, and after your confirmation, they will close the ticket.

I checked Boomi in my free time and in my previous organization. I found it complex to use as an iPaaS platform. Whatever the connectors, there are more than 600 connectors SnapLogic provides, and you won't find such a variety in Boomi and MuleSoft. That was the biggest motivation to switch. The development approach is very easy in SnapLogic. After comparing these platforms, we realized SnapLogic is the right solution for us. In the previous organization, they switched from Boomi to SnapLogic.

I checked Boomi. I don't find that to be a fitting enterprise solution for the market. That's why we opted for SnapLogic. It also has a complete central API management platform, so data integration and API management can both be done in SnapLogic. With one solution, we are achieving two goals.

Earlier there was a manual approach. When we came to the organization, we suggested that this is the platform you can utilize as an integration architect. Looking at the time consumption, we have saved 50 to 70% through the low-code platform. We have created so many reusable components where we don't have to spend the time. We can simply go and use them. The onboarding part is also faster for new applications because there are so many connectors you can use. We don't have to spend time on quicker troubleshooting and centralized monitoring, which reduces issue resolution time. Suppose there was an issue resolution time of 10 hours for the previous manual effort; now it is reduced to one hour or half an hour. The business team can also deliver integration projects in days or weeks instead of months. We have saved manpower, reduced months of effort, and created many reusable components, which definitely leads to cost savings. We see a 60% reduction in integration development time, a 40% faster onboarding process of new applications, and a significant decrease in manual operations through workflow. This is quantified.

We save time because there were so many manual efforts happening. With the introduction of SnapLogic, we have automated all the processes in Hitachi and GlobalLogic. Those kinds of manual efforts and manpower savings have definitely been reduced.

Based on my research and integration career, I have seen many products such as Workday, MuleSoft, and IBM MQ. After analyzing all those and lots of implementations, I found SnapLogic as a very useful and user-friendly integration tool.

In the overall comment in the integration journey, I have worked with many vendors and organizations. SnapLogic has been a valuable integration platform for every organization. It's not only for those who are using it but also for those who are not using it. If they will analyze their infrastructure or system, they will see this is the right platform for integration. It enables faster development, improved automation, and seamless connectivity. It supports on-premises applications, cloud applications, and Salesforce. The low-code, no-code approach, extensive connector options, and AI assistants such as Snap, Iris recommendation, transformation recommendation, and mapper recommendation, all contribute to improving operational efficiency for every organization using it. Those who are not utilizing it definitely need to evaluate, analyze, and compare it with their systems.

DevOps capabilities such as CI/CD implementation, integration with GitHub, GitLab, everything is provided. SnapLogic is a robust, scalable, and user-friendly platform that has helped us to reduce development time, automate many business processes, and support enterprise growth, especially with low-code, no-code capabilities and broader connector options, more than 600. I would rate this platform a 9 out of 10 overall.

My main use case for SnapLogic is integration and automation, where it connects different systems, applications, databases, and files so data can move automatically between them.

A company's sales team uses Salesforce to create customers while the finance team uses SAP for billing and the support team uses a ticketing system. Previously, whenever a new customer was created, sales emailed finance, finance manually created the customer in SAP, and support manually set up the account. Errors and delays were common. SnapLogic helped by building an automated pipeline where the trigger was when a new customer was created in Salesforce. SnapLogic automatically validates customer data, creates the customer in SAP, creates a support account, sends confirmation emails to stakeholders, and logs everything for audit. This resulted in reduced onboarding time from one to two days to a few minutes, eliminated manual data entry errors, improved customer experience, and saved operational effort.

Another example of SnapLogic usage in our organization is automating daily sales reporting instead of manually downloading and merging data from a POS system. The pipeline automatically extracts, transforms, and distributes reports every morning.

The key benefits we gained from SnapLogic are improved operational efficiency, reduced errors, faster system integration, better visibility and monitoring, and scalability and flexibility. Implementing SnapLogic helped us automate key business processes, reduce manual effort, improve data accuracy, and accelerate system integration, which resulted in improved efficiency and cost savings.

We reduced manual processing effort by 40 to 60%, approximately 15 to 25 hours per week, and reduced dependency on custom integration development, which saved contractor costs. The estimated annual savings are around 50,000 to 150,000 USD, depending on team size.

We reduced the process turnaround time from one to two days to under one hour and automated a daily report that previously took two to three hours manually. We accelerated system integration by 50%, and we reduced manual data entry errors by 70 to 90%, improved data accuracy to 99% plus consistency, and reduced issues by 40%.

The best features in SnapLogic are the drag-and-drop interface which makes it easy to build data and application flows. No heavy coding is required, making it ideal for both technical and non-technical users. SnapLogic also offers pre-built snaps, real-time and batch processing, API management and integration, cloud and hybrid support, dashboarding and monitoring, error handling and retry mechanisms, scalability, security and governance, and transformation capabilities with built-in functions to clean and transform data, expressions, aggregations, and mappings.

SnapLogic offers auto-mapping and smart schema detection as additional features. SnapLogic can detect schemas automatically, which helps when sources evolve or change, and this matters because there is less manual mapping work.

I find the learning curve for complex transformations, the debugging experience, performance optimization visibility, cost for small teams, and version control and DevOps integration could be improved in SnapLogic.

The improvements needed for SnapLogic include expanded AI agent support, SnapGPT or prompt user enhancements, improved monitoring and observability, expanded connectivity and snaps, Git integrations and DevOps improvements, and platform APIs and automation.

I have been using SnapLogic for six years.

SnapLogic is stable.

SnapLogic is designed to handle growing workloads and complex enterprise integrations without major changes to the infrastructure. Its elastic and distributed architecture handles large data volumes and has multi-environment support. A real-world example in our organization shows that after implementing SnapLogic, pipelines that processed one to two million records per week can now handle five to 10 million records without additional infrastructure, allowing us to scale data integration as business needs grow.

Customer support is excellent in my experience. The responsiveness, technical expertise, knowledge base and documentation, support channels, and continuous improvement were impeccable. Support responded quickly to high-priority issues, and the technical team helped troubleshoot integration problems efficiently. The documentation and community resources assisted in resolving routine questions without waiting for tickets.

We used legacy ETL and integration tools, such as Informatica and custom scripts before SnapLogic. While they worked, they had limitations such as long development cycles where building and modifying pipelines took much longer. There was limited cloud support, and it was difficult to connect cloud apps and hybrid environments. Manual maintenance, error handling, and monitoring required more effort. We moved to SnapLogic because it offered a low-code visual platform, pre-built connectors for cloud and on-premises systems, real-time and batch processing, and better automation capabilities, allowing us to accelerate integration, reduce errors, and scale efficiently.

SnapLogic uses a subscription-based pricing model based on the number of pipelines, environment type, and number of connectors or snap packs used. The setup and deployment costs for a cloud deployment involve minimal hardware costs, only subscription fees, and a quick setup. On-premises or hybrid costs include Snaplex node setup, VMs or servers, and network configuration. Initial setup includes pipeline design, snap installation, authentication setup, and integrations. Licensing is per environment or per runtime node or Snaplex, and snap packs and connectors may be included or licensed separately depending on the plan. The AWS Marketplace option allows purchasing a SnapLogic license through AWS billing, simplifying procurement.

SnapLogic's pricing and licenses are flexible and scalable, supporting both cloud and hybrid deployments. While initial setup is straightforward in the cloud, on-premises or hybrid deployments require more planning and investment. The subscription-based model provides predictable costs, but organizations should evaluate the number of snap packs and runtime nodes they need to optimize licensing costs.

We have seen a 50% reduction in manual data processing and a 70 to 80% reduction in data entry or integration errors.

The reports and pipelines run, leading to cost savings that reduce manual effort and save 50,000 to 150,000 USD annually. SnapLogic handles a 3 to 5x increase in data volume without extra resources. SnapLogic delivers measurable ROI through time savings, 70% fewer errors, faster processes, and significant cost reductions while enabling scalable automations across our systems.

Before selecting SnapLogic, we evaluated several other integration platforms, including Informatica, MuleSoft, and Dell Boomi. We compared them on key criteria such as ease of use, pre-built connectors, real-time and batch processing capabilities, scalability and performance, total cost of ownership, and licensing flexibility. SnapLogic stood out because it offered a visual low-code interface, strong hybrid and cloud support, and fast deployment, which allowed us to accelerate integrations and automate workflows more efficiently compared to the alternatives.

SnapLogic is a flexible low-code integration platform that connects cloud and on-premises systems, automates workflows, and reduces manual effort. Organizations can benefit from faster integration delivery, improved data accuracy, and scalability.

My detailed ratings are as follows: ease of use score of eight, integration capability score of nine, automation efficiency score of nine, data accuracy score of eight, performance score of eight, API cloud score of nine, monitoring score of seven, learning curve score of seven, and cost or ROI score of eight. I rate SnapLogic an eight on a scale of one to ten, with an overall satisfaction average of eight. SnapLogic is a very effective platform, and small improvements could make it even better.

I have been using SnapLogic for 12 years and it continues to run effectively. SnapLogic serves as an integration platform in our IT application team to exchange data from one application to other applications and perform the transformations required if they are ever needed.

We have various types of sources. It can be SaaS applications and on-premise applications. Based upon the business requirements and other factors, we extract data from the various sources, either from the specific Snap Packs or through the REST APIs. Some applications generate files and place them on file servers. We use all methodologies, including SnapLogic Snap Packs, direct connectivity with those sources, or file-based integrations. We also use SnapLogic as an API. With the help of that, we extract all the data from the sources. We perform the business transformations wherever required as per the target system needs or the business requirement needs. Then we connect the target applications, either through dedicated Snap Packs such as Workday, Salesforce, Oracle ERP, SQL Server, any third-party applications, or SaaS applications if we have the Snap Pack. Otherwise, we use SOAP services, REST methods, or API-based integrations to connect the target applications.

We have ample and a variety of use cases. It can be batch-to-batch jobs, integrations, scheduled integrations, API-based integrations, and all these things. Currently, we are assessing SnapLogic API and features so that we can deploy all our existing APIs and build new APIs while having the complete API lifecycle management within our organization. Many of the use cases are API-based, and we need to be more secure about our APIs.

The best feature of SnapLogic is that we can access it through a normal UI with normal internet connections from the default Google Chrome browser. As a developer, the low-code, no-code approach is a very good feature of SnapLogic. Additionally, SnapLogic has enhanced its existing features by providing SnapGPT or suggestions so that any new learner wanting to learn SnapLogic can quickly adopt this new technology and become very advanced in a lesser time.

SnapGPT is a feature we haven't actively used and we don't have that much of an active subscription for it. However, from what I know about SnapGPT, since we enabled it as a trial version after requesting it from our customer success managers, we have seen that it is good for very new learners who want to learn SnapLogic and cross-train in it. When I mention the low-code, no-code aspect, if you are doing any kind of transformations and routing your incoming data or applying filters based upon conditions, we have multiple options. If we have to route data to multiple destinations, we have the router Snap. If we have to apply conditional routing, we have conditional Snap Packs for that. That is why I prefer it as a complete low-code, no-code solution. That is a good advantage of SnapLogic.

Nothing major stands out regarding areas of concern. Since I started using SnapLogic approximately 12 years ago, at that time there were very few features. Nowadays, it keeps enhancing and continuously comes with new features and additional capabilities. That is a very good advantage. I think nowadays if any new learner and training people want to learn SnapLogic, it is very easy to adopt, comparatively to when we started approximately a decade ago.

SnapLogic definitely needs some kinds of improvements as per the current market and current AI world and current technology. At this moment, I can say there is one feedback on how SnapLogic can improve. There is a very small example: in SnapLogic, if we have to whitelist so many IPs, then you have to go one by one and add IPs manually. There should be some kind of a mechanism so that it can take input from any CSV files or something so that it can do bulk uploads. The IP whitelisting is the area that SnapLogic definitely has to improve. It is a bit painful because if you want to whitelist some Salesforce IPs, Salesforce provides complete IP ranges that you have to go through manually. Sometimes if you mistakenly select something, then all your existing IPs that you have added are gone. I have faced this issue personally, so definitely SnapLogic has to improve in that area.

IP whitelisting is currently the top area on my mind for improvement. I don't think of any other areas that need improvement right now.

I have been using SnapLogic for 12 years and it continues to run.

SnapLogic is stable. Sometimes it is unstable, but I must say that is not completely because of SnapLogic. There might be some things that I am not aware of because I am still a learner. Even though I have been working in SnapLogic and managing all the infrastructure and administration for the last 12 years, I can say I am still learning and might be making some mistakes. However, sometimes we see that SnapLogic is unstable during patch releases or Snap Pack releases.

SnapLogic is known for its scalability. If you see the name SnapLogic called Elastic SnapLogic.com, you know what elastic means. That means you can stretch it any way and it works on the Triple-A platform. The Triple-A methodology means anything, anywhere, anytime. That means you can connect any system or application anytime, whether day or night, scheduled or dynamic, and anywhere, whether it is cloud or on-premises.

Customer support is good. Whenever we generate tickets in Zendesk, support engineers are assigned and they get back to us and follow up. However, if there is any kind of support required from the customer success support team, they need to evaluate and check with their internal engineering team, which takes time. Otherwise, I would not say that customer success support is not doing good. They are doing a very good job, and I definitely appreciate that.

I have worked on Informatica and Informatica Cloud, and sometimes I have used MuleSoft. We have also done some POCs with Dell Boomi. Broadly, I haven't extensively used Dell Boomi, as I was doing some POCs, but choosing SnapLogic was not my decision; it was the organization's decision. However, I have some other integration platform experience as well. I have worked on MuleSoft and Informatica and Informatica Cloud. Dell Boomi I have evaluated through POCs. However, we haven't done any full-fledged deliverables on it.

Definitely, there is money and time saved. For example, currently I don't have specific metrics to share. However, if you have seen the return of investment, currently I don't have any detailed information to provide.

The pricing model of SnapLogic is something I have a complete personal opinion about. I feel SnapLogic is very expensive compared to others. When I compare the cost from other applications or competitors, SnapLogic looks like a costly tool. However, it is meeting our requirements. Definitely, on the costing side, it's my personal opinion on what I feel. We have taken this solution, so it appears costly. Even though it is an organizational cost, it does appear that way.

I haven't much used the AI capability of SnapLogic, so I cannot comment on what the pros and cons of these AI capabilities are. However, any product using AI capabilities is using much better methodology and graph technology methodology to reach the actual requirements and concerns from the customer or users and drill down to the actual requirement so that they can give the best possible matching answers to the user.

It is a mixture of everything. We have some integrations running on the completely private cloud and many of the integrations that we have are on-premises. We are using on-premises Groundplex servers also. We are using SnapLogic cloud provider that AWS.

As I mentioned, we evaluated MuleSoft, Dell Boomi, and SnapLogic. On top of that, we recently evaluated one technology called Pentaho for an integration platform. However, we found that SnapLogic is the best option currently on the market, so we have gone with it.

Customer support is good. Whenever we generate tickets in Zendesk, support engineers are assigned and they get back to us and follow up. However, if there is any kind of support required from the customer success support team, they need to evaluate and check with their internal engineering team, which takes time. Otherwise, I would not say that customer success support is not doing good. They are doing a very good job, and I definitely appreciate that.

I would scale things to eight, or between 8 to 8.5, on a scale of 1 to 10. I would definitely say that if they have some kinds of requirements, they should choose SnapLogic because SnapLogic is currently up to date and as per the current IT industry market and other factors, I don't think any other solution or platform is available in the current IT world which can meet customer integration requirements. My overall rating for this product is 9 out of 10.

Our main use case for SnapLogic is building and managing data integration pipelines between different systems, especially for automating API-based workflows. It helps streamline data movement, transformation, and orchestration without heavy manual intervention. For example, in our day-to-day work, we use SnapLogic to integrate data between internal systems and external services. The typical pipeline involves fetching data from an API, transforming it based on the business requirements, and loading it into another system or database. This automation reduces manual effort, ensures consistency, and allows us to handle updates in near real-time.

In addition to core data integration, we use SnapLogic for workflow orchestration and monitoring. It helps manage end-to-end data flows with better visibility, error handling, and retries. We also leverage its reusable pipelines and connectors to standardize integration across teams. This reduces development time and ensures consistency, especially when working with multiple APIs and systems. Overall, it plays a key role in making our process more efficient.

One of the best features SnapLogic offers is the intuitive drag-and-drop interface, which makes it easy to build and manage pipelines without heavy coding. It also allows both technical and non-technical users to quickly create integrations. Another key strength is the wide range of pre-built connectors that help integrate multiple systems, APIs, and databases seamlessly. I also find its scalability and real-time processing capabilities very valuable. It can handle larger volumes of data and supports both batch and real-time integration, which is very important for building reliable and responsive data pipelines.

The drag-and-drop interface has made my work much faster and more efficient by simplifying how pipelines are built and managed instead of writing complex code. I can visually design workflows by connecting different components, which reduces development time and makes the logic easier to understand. It is also very helpful for debugging and maintenance. I can quickly identify whether a pipeline is working or failing, or make changes directly in the flow and test updates without much effort. This visual approach improves productivity and makes it easier to collaborate with team members, especially when explaining or modifying integrations.

SnapLogic offers strong support for automation and scheduling. It allows us to schedule pipelines or trigger them based on events, which is really useful for building fully automated workflows without manual intervention. Another valuable feature is its built-in error handling and retry mechanism. Instead of pipelines failing completely, we can design flows to handle exceptions gracefully, log issues, and retry where needed. This improves reliability in production. The reusability of pipelines and components is a big advantage. We can create modular pipelines and reuse them across multiple use cases. This saves us time and keeps everything consistent and scalable.

The learning curve for advanced use cases with SnapLogic could be improved. While basic pipelines are easy, more complex transformations and debugging can still be a bit challenging. Another improvement would be in error messages and debugging clarity. Sometimes the errors are not very descriptive, which makes troubleshooting take longer than expected. Performance tuning and visibility can be better for large-scale pipelines, as having more granular control and deeper insights into execution performance would really help.

One improvement would be version control and collaboration. While SnapLogic supports reuse, tighter integration with better change tracking would make team collaboration smoother, especially in larger environments.

I have been using SnapLogic for around six months to one year as part of my integration and automation work.

SnapLogic is very stable in my experience.

The scalability of SnapLogic is very good, especially since we are deploying this in a hybrid cloud. The Groundplex nodes are performing very well, and we are connecting to the API through our local SnapLogic portal. Overall, when it comes to scalability, SnapLogic performs very well.

I raised a couple of tickets with SnapLogic's customer support. We faced some technical challenges, but the experience went very well. I can rate SnapLogic customer support nine out of ten because they are very interactive and helpful.

SnapLogic is our first solution for this purpose.

We have seen the return on investment with SnapLogic. The time savings and the productivity of the engineers across our team have improved. It improved our productivity by fifteen percent and shifted work from IT to business users. In terms of cost savings, it has also reduced costs by seventy to eighty percent. The case studies indicate that we are achieving a good percentage of ROI.

SnapLogic follows a subscription-based pricing model, which is quite flexible but can feel premium depending on the scale. Pricing is usually tiered and customized based on factors such as the number of systems, data volume, and features required, so it is not always straightforward upfront. In terms of setup cost, it is relatively low compared to traditional on-premises tools. Since it is cloud-oriented, it does not require heavy infrastructure investment. This makes initial onboarding faster and more cost-efficient.

I recommend that instead of going to the Groundplex node, teams use SnapLogic for SaaS-based solutions because running the Groundplex node creates additional operational overhead for the team. To go better and smoother, it would be very good if teams use SaaS that has strong resilience compared to hosting it on-premises. Overall, SnapLogic is a very good tool. From the practical standpoint, it delivers integration quickly, reduces manual work, lowers dependency on multiple tools, and improves team productivity. It has helped us to move faster. I would rate this product an eight out of ten.

My main use case for SnapLogic is migrations from Boomi and other SQL databases to SnapLogic. Regarding the SQL database, I'm not going to disclose the customer name, but I can give you some highlights. It was financial data for a Fintech organization. They wanted to move from their PNL and GL data. All these migrations and the benefits data, which they have to send to the third-party system, moved from another iPaaS system to SnapLogic because of delays and latency, which was the biggest issue for them. So, we built up plenty of data lakes and migrated the data back to SnapLogic.

Similarly, for the SQL database, it wasn't only the latency, but they were also facing issues where people were unnecessarily writing a lot of triggers. They didn't think that was the correct way because there was no alignment or streamlining in terms of process design or the reusable storage of technical resources. They wanted to identify and streamline the entire process, as well as build some kind of reusable process. I have also found that SnapLogic, or perhaps Boomi or MuleSoft, whatever the customer is going to choose, has some kind of edge in terms of processing data quickly and with a reduced amount of latency. I don't know what changes they are going to do with the help of agent AI, all the pipelines, and DataBricks, and all these things, and how they are going to put the data in perspective within the application. That is the use case I can tell you.

The best features SnapLogic offers include the different integration patterns you can quickly adapt. Manipulation is easy with the data. When I'm saying easy, I mean that there are a lot of ways to get different data sources into one place, and then you can do a lot of customization. It is easy as well. For a person who doesn't have that kind of exposure, they can quickly adapt. There is no space to say, 'I don't know this system.' If your basics are clear, then you can quickly adapt. So, it is a quick adoption from SnapLogic's side. The second thing is that the kind of features they are providing for the different integration patterns is really unique.

You can build a lot of quick JMS connections. There are inbuilt connections for the likes of SuccessFactors, Salesforce, and Oracle where you can get the data from the ERPs. Then you can do the data manipulation and map the data to the destination system, and send the data to SFTP, to an S3 bucket, or via the API. You can build the API as well within that suite, and then manipulate the data over there. Accordingly, you can utilize the RBAC system in a better manner.

SnapLogic is coming with a lower latency rate when it comes to a huge number of pipelines and the huge terabytes of data they need to read and then they need to write. Especially if they can look towards Apache Iceberg or DataBricks or anything Spark, in terms of how these systems handle the kind of data they are going to send. So there is a quick turnaround to processing the data for any of the downstream systems.

I believe that SnapLogic impacts the organizations I work with as a contractor. It is really useful for them, especially for new use cases that are quickly adapted with a quick turnaround. It is very useful in terms of testing and realization. Especially when there are unique features in SnapLogic, the entire chain and transport management system for sending the whole config from development to quality and from quality to production is really fantastic. This gives a different kind of aspect to the customer as well, to quickly make changes in development with a quick turnaround. In no time, they can send the data from dev to production.

The latency is the biggest issue across iPaaS. That is the important part. I have worked not only with SnapLogic, but also with MuleSoft, Dell Boomi, and Jitterbit. They are all fine, but they have different kinds of functionality. They all have similar kinds of problems in different domains. But as I mentioned, SnapLogic has a little bit of an edge because of its functionality and inbuilt functions for Fintech, as compared to the others. This I can say firmly.

They need to assess themselves. In this day and age, as I mentioned earlier, terabytes of data need to be read and then have a quick turnaround for downstream systems, especially for GenAI or any LLMs. Then they can definitely improve themselves because right now, most things, in fact, the GenAI, ChatGPT, Cloud, Anthropic, and so many others, require data quality with perfection and more precision. But for all of that, we require a data pipeline that can be read without latency and without any delay, for any reason. So if they can improvise that over the cloud, that would be really fantastic and a really good achievement for them. Not only for them, but for the customer as well. Then no matter what, people cannot leave SnapLogic. They need to be there with the snaps.

I don't know much about that. I haven't referred to the documentation that much. But support is something that is pretty obviously required, rather than just providing videos. Technical support is required. The roadmap also needs to be very clearly mentioned and specified. Be specific in which domain they are going to do what, if they are coming out with that roadmap. Otherwise, overall, if they are going to improve their entire system as I mentioned earlier, for the reusability concept and the data pipeline concept, then they will definitely do some magic in the future.

From the HR point of view, or for HR tech, improvement is required. A couple of connectors are not working with all the relevant APIs, and there is always a restriction in terms of fetching the data. So that is why I chose six. From the Fintech point of view, if you are asking on a scale of one to 10, then I would give it an eight out of 10. It is a huge one. There is always a margin for improvement, so that is why I chose eight. If you talk about HR, sales, or any other domain, there is a significant amount of improvement required.

I have been working in my current field for close to 18 years.

SnapLogic's scalability is huge. There is a huge amount of scalability. That is why I put it on the scale of six. There is an area for improvement. Once that area of improvement is already done, or about to be completed, then it will definitely be a nine out of 10.

Customer support for SnapLogic is neither bad nor good. It is okay, normal. Sometimes it is very good, sometimes there is no response.

Neutral

I did a lot with Boomi. I love Boomi a lot, along with SnapLogic. Where we switched to SnapLogic, it wasn't from Boomi. The customer chose SnapLogic over the traditional way of working, such as a SQL database, Oracle database, or some other iPaaS solution, which was not Boomi. They switched because the traditional solutions did not fit their commitment or approach to making an ecosystem out of the cloud. That is why they switched to SnapLogic. Everywhere I have worked where SnapLogic is used, they were all in Fintech. Fintech has huge, secured, and very cumbersome numeric logic. They don't have a huge population within the organization, but they require very complex calculations which they would to complete easily. This allows them to connect with it over many years. So if they would want to switch from or to SnapLogic, they need the entire ecosystem as it is: process optimization, approach, documentation, etc. That is why they chose SnapLogic.

I have evaluated other options. Honestly speaking, I gave the suggestion for both Boomi and MuleSoft.

I am a contractor, so I can work. I know this. I did not work with a partner, reseller, or any kind of relationship for anyone.

Time was definitely saved with SnapLogic. Money, I don't know. I'm not part of the pricing and setup, so I can't say. I can't comment on that. It is not that fewer employees were needed, but time was definitely saved, and our process was optimized with the help of SnapLogic. That I can say for sure.

Before using SnapLogic, I had a different opinion.

I would rate SnapLogic a six on a scale of one to ten.

I don't really remember if you are talking about metrics, but I can give you one example where we built around eighty odd interfaces out of three hundred interfaces that needed to be migrated from Oracle. It worked really well. It was fantastic in terms of processing, latency, data manipulation, and the downstream system. For one interface, we had to send it to more than thirty places in different time zones with different scheduling. We heavily customized those interfaces, and it really works well.

I would tell others looking into using SnapLogic to use it. Take it, use it, and use it. You can't go beyond SnapLogic. SnapLogic is not going to give you any kind of bad experience, definitely. Because any solution that has a huge amount of scalability, there is a probability that a solution SnapLogic is not going to feel uncomfortable for any customer expectations.

Good luck. Do great things and have great achievements. I would love to see and then move myself also onto SnapLogic's new roadmaps. You will definitely do some wonders with SnapLogic.

My main use case for SnapLogic is to build integrations between two different applications or systems, mostly to facilitate the integrations part.

I can give you an example of an integration project I have built using SnapLogic. I built one of the more complex integrations, which was near real-time customer data synchronization between the Salesforce on-premise ERP system using SnapLogic. Their goal was to make sure both systems stay aligned on customer records, orders, and their status updates without any human intervention. So, the main goal is to make it all automatic with SnapLogic process. I designed a triggered pipeline using a Salesforce listener tap that captures all the record changes, ensuring no human intervention is needed. This data flows through validations and transformation Snaps, where I standardize the formats, handle a few operations, and ensure full consistency with the data. I also implemented a reusable error handling sub-pipeline that logs the failures in monitoring databases and sends alerts through email or channel notifications. For the ERP side, I exposed SOAP services, configured the SOAP execute Snaps with dynamic requests, and generated the payload as well. I ensured performance optimization issues were addressed as the volume increased by batching requests and parallelizing the process. This integration is now fully automated and monitored, requiring no human intervention. This is one of the integration projects among many I have worked on with SnapLogic.

I have also handled various integration use cases with SnapLogic. I have built REST API pipelines used to expose backend security to external applications, utilizing API tasks, API policies, and pipeline parameters. I have focused on batch ETL data pipelines for migrating large datasets from databases, like Snowflake to other cases, using bulk Snaps throughout. Additionally, I have worked on event-driven integrations using ultra pipelines for low latencies. I have connected applications, integrating CRM to ERP and ERP to CRM, where I handled mapping, transformations, validations, and reconciliation reporting. Another use case is for file processing automation, particularly with automated ingestion of CSV, XML, and JSON files, where I parsed and validated the file structures before loading into databases and generating reports and success/error messages. Lastly, for error handling and monitoring frameworks, I built and logged failures to database log services, created alerts via email or Slack, and stored failed payloads for retrievability, ensuring data quality and transformation pipelines with standardized formats. These represent some of the many use cases I have worked on.

SnapLogic positively impacts my organization, mainly in three areas: speed, system reliability, and maintainability. Before adopting SnapLogic, integrations were either custom coded or handled through scripts, leading to fragility and scaling challenges. With SnapLogic's reusable pipelines and pre-built Snaps, development time for new integrations drops significantly, in some cases from weeks to just a few days, as I no longer need to rebuild connection logic from scratch. The built-in error handling improves reliability, with monitoring dashboards and retry mechanisms reducing production failures and providing visibility into pipeline performance, allowing me to detect and resolve issues proactively instead of relying on business user reports. Another significant improvement is maintainability; the visual and modular nature of pipelines simplifies onboarding for new team members, making it easier to learn and standardize parameterization.

Speaking of metrics, I would emphasize a specific example: in one of my integrations, I synchronized customer and order data between Salesforce and my ERP. Initially, builds took about two to three weeks with custom scripts and manual API logic. After transitioning to SnapLogic, I averaged this down to just days for similar integrations, primarily due to the reusable pipelines that streamline efforts. The majority of time savings stemmed from the pre-built Snaps, eliminating the need to write authentication or pagination logic anew. Regarding reliability, before SnapLogic, I experienced approximately eight integration failures per month due to timeout errors, schema mismatches, or unhandled null data. After implementing structured error handling pipelines, retries, and validation layers, this number has dropped to around two to three incidents monthly, mostly attributed to upstream system issues rather than pipeline failures. From a maintenance angle, onboarding new developers who previously needed weeks to confidently modify integrations has been dramatically reduced with SnapLogic's visual pipelines and standardized design approaches, leading to faster delivery, fewer production issues, and less time spent debugging.

SnapLogic offers numerous features that stand out. One of the key features is the pipeline designer visualization, where users can drag and drop components based on their use cases, making it user-friendly. SnapLogic execution transparency and preview at each data step provide vital information about how components work and their utility. Another highlight is SnapPacks, featuring pre-built connectors, which save time. There are hundreds of connectors for APIs, databases, SaaS applications, files, and messaging systems, with built-in authentication handling. Ultra pipelines boast impressive response times in milliseconds and are persistent in executing nodes. Additionally, SnapLogic's modular designs promote reusability, allowing developers to maintain structured development. The error handling frameworks also enable production-grade setups without needing custom frameworks, facilitating retry logic and hybrid architecture flexibility. SnapLogic excels in data transformations, monitoring, and observability, providing scalability controls for the pipelines.

I would like to highlight the expression language feature, which is primarily based on JavaScript and allows for logic to be embedded directly in the pipeline components. Its strength lies in dynamic routine logic, making it easy to write clean, efficient expressions for various use cases. Another notable feature is the pipeline execution mode offering options for trigger tasks, scheduled tasks, alter tasks, and execution patterns. This flexibility aids in designing execution strategies. SnapLogic also integrates metadata and schema handling, with automatic design and schema capabilities being significant differentiators. Experienced engineers truly understand schema stability with SnapLogic. Other features such as pipeline patterns, design, and scalability further contribute to its robustness. However, if I had to choose a favorite feature, it would be the reusable child pipelines with parameterization because it enforces standard logic, reduces duplication, and underscores SnapLogic's role as an integration platform rather than just a tool, allowing for team scaling and ensuring consistency.

While SnapLogic is powerful, there are several areas for improvement that could enhance user experience. Version control remains an area needing attention as it currently lacks effective features. Debugging complex pipelines can be painful, especially when dealing with deeply nested structures, making it difficult to trace data lineage across pipelines. Improvements in centralized execution and trace visualizations are also necessary. Furthermore, compared to other code-based tools, there is room for advancement in structured transformations, making this a critical area for improvement.

I have been using SnapLogic for eight years.

Positive

For monitoring and alerting my SnapLogic integrations, I utilize various dashboards. I implement a layered approach, conducting platform-level monitoring, pipeline-level logging, and proactive measures. Using the built-in dashboard for runtime metrics and execution histories provides operational visibility. I design pipelines with a centralized logging and alert framework, ensuring failures are immediately detected rather than discovered by users.

I manage versioning and deployment of pipelines using a structured promotion model across environments, including development, QA, and production. Pipelines are developed and tested in development projects and promoted to higher environments using SnapLogic's project export functionality. Environment-specific values remain externalized through parameters and accounts, enabling the same pipeline to operate across all environments without modification. For version control, I maintain backups and track versions with naming conventions for proper documentation and repository snapshots. Prior to deployment, I validate dependencies and conduct test executions to ensure stability, minimizing configuration drift and securing successful deployments.

SnapLogic supports data transformations primarily through its mapper Snap and expression languages that facilitate complex field mapping. This includes conditional logic, data restructuring, and format conversions. In my projects, I utilize the mapper Snap for most transformations, as it allows for visual mapping of schemas while concurrently supporting advanced logic through expressions. For complex scenarios, I combine the mapper with scripting and aggregate, router, and join Snaps to develop more modular transformation pipelines. This approach maintains transformation processes that are reusable and scalable across integrations.

My advice for anyone considering SnapLogic is to view it as an integration platform rather than merely a tool. Doing so can yield stronger results when teams design pipelines with scalability, modularity, and governance in mind from the onset. Organizations should invest early in defining naming standards, reusable components, parameterization strategies, and monitoring frameworks. SnapLogic can significantly accelerate development, with its real value revealing itself when implemented with architectural discipline rather than for quick, one-off integrations.

As a closing thought about SnapLogic, I would emphasize that it is indeed a powerful integration platform with clear strengths, but it also has defined limits. Its effectiveness comes to the forefront when used properly, and its success heavily relies on implementation discipline rather than solely the tool itself. I have given this review a rating of 9.

Regarding automation, there were multiple business requirements to automate processes, such as sales processes and finance data. They wanted to integrate with different systems and achieve accurate results with the reflection of accurate data into correct databases. In that way, we can use SnapLogic to integrate and load; it is ETL, extract, load, and transform with different databases. With those databases, it will be really helpful to use SnapLogic, which will serve as the middleware tool to make it easy to transform data.

For deployment, we were raising requests to another team. They were creating solutions to make it happen with the help of Postman; we were adding details, and using the Postman tool, they were integrating or deploying in another environment.

The tool is very user-friendly and not complex to understand. The structure of the platform is easy to understand, and we can build multiple systems with low-code, no-code, so it doesn't require much coding language. Now it is moving more into APIs, so we can create APIs to transfer data, which we can manage. It's moving into AI, so we can create AI agents with LLM models. We can use most of the LLM such as Amazon Bedrock, OpenAI, Azure AI. With those Snaps, we can integrate and move more into the AI world.

SnapLogic is hosted on Groundplex and AWS cloud. It has pre-built connectors, which we call Snaps. That is very helpful to connect with multiple systems.

We have a dashboard monitor that is very graphical. We can measure exact times in seconds and how much time it took to complete the process. With that help, it's really helpful to see how much memory consumption is utilized. The monitor structure has very good features for SnapLogic.

SnapLogic is an integration tool which we use to integrate multiple systems such as source system, target system, cloud systems, and Groundplex systems. It is an iPaaS tool and a very strong tool. Now it is moving more into APIs and AI/ML tools; it is improving their knowledge. It is helpful for creating SnapLogic agents. In this way, SnapLogic is expanding their work.

In the future, SnapLogic can make connectors with LLM connectors which are available recently. They can work on that aspect. Sometimes those connectors have low performance or don't generate accurate results, so that can be improved.

I have been working with SnapLogic for three-plus years.

Recently, I haven't found any performance issues. Previously, a year or a year and a half back, sometimes it was lagging, meaning it was giving low performance. But recently, in a year, I haven't found many performance issues in SnapLogic.

SnapLogic is scalable.

They have a community channel for support if needed. Some SMEs are allotted for the organization, so in case of any issue, we have their email IDs to contact them for support, including SMEs and community.

Neutral

There was MOVEit, which was the old product. We migrated from MOVEit to SnapLogic.

In MOVEit there were some security issues, and that product was taking a long time to respond, and the performance was very laggy. We decided to move to SnapLogic due to these security issues.

It was not straightforward. There were medium to complex kinds of integrations. Sometimes it is direct integration, and sometimes it has logics to make transformations. In some cases, we have scripts we need to run in SnapLogic to perform operations.

Regarding the transformation in SnapLogic, we can make complex query transformations, multiple logic, if-else statements, or any ternary operators; any transformation needed from source database or source system to target system. SnapLogic is really helpful to make that transformation with the help of connectors.

Previously, we were using other tools and observed their timing. When we migrated that logic to SnapLogic, we found a major difference compared to the old legacy tool. It is saving cost and time. SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.

I do not know the exact pricing.

It was not straightforward. There were medium to complex kinds of integrations. Sometimes it is direct integration, and sometimes it has logics to make transformations. In some cases, we have scripts we need to run in SnapLogic to perform operations.

I would consider SnapLogic, and I would suggest any other organization use SnapLogic because it's not just an ETL tool; it is also moving into data orchestration and AI. It is a very scalable product and highly recommended. I rate SnapLogic 8 out of 10.

My main use case for SnapLogic is to use the monitor tab to monitor the daily pipelines, the sales reports, and to check on the failures which are happening. When some failures occur, I utilize SnapLogic Designer to make the changes so that the pipeline runs successfully.

A specific example of a pipeline I've worked on recently is the daily sales report which we deliver to the business during the early business hours. It is a critical report, and for that file, we faced the issue of duplicates. Together with the help of my senior teammates and colleagues, we created a pipeline that removes all the duplicate entries. It was fascinating because SnapLogic has inbuilt Snaplets that we can directly drag and drop and develop a pipeline with very minimal code. Moreover, we can provide different kinds of parameters that can be versatile and changed according to our requirements. This is one of the pipelines I've worked on recently, about one or two weeks ago, and I monitor it daily after deploying it into the prod environment.

Most of the pipelines I work on are related to building up to loading the data into sales. In my current project, the data from SQL Server and Redshift is loaded into BigQuery and Oracle tables. In SnapLogic, we developed some transformations, such as removing duplicates and adding other parameters to remove inconsistencies. These are the types of pipelines we use in SnapLogic to transition data, functioning as ETL, by extracting from SQL Server or Redshift, transforming in SnapLogic, and loading it back into GCP and Oracle.

One of the best features SnapLogic offers is its user-friendly interface. I was not trained in using SnapLogic; I was trained in Informatica, which is also a data engineering tool. However, when I first started using SnapLogic, any person with minimal knowledge in data engineering can easily understand how SnapLogic works because it is clearly segregated into Monitor tab, Designer tab, and a Manager tab. The role assigned in your project defines which tab you will use the most. The user interface is important, and the inbuilt Snaplets that we can directly drag and drop to create different kinds of pipelines also stand out.

The drag and drop functionality and the tabs make my daily work easier compared to my experience with Informatica. In Informatica during my internship, creating mappings took a lot of time and effort since we needed to leverage Mapplets. While we can create one mapping and use it multiple times, there is no help from the application side. There are some transformations most users need that are not inbuilt in Informatica. In contrast, SnapLogic provides inbuilt Snaplets, such as creating and closing an audit ID, removing duplicates, joining tables, writing to Oracle, files, XML, SF, SMTP connections, and more. These Snaplets can be directly used rather than developed in every pipeline.

Since moving to SnapLogic, we have observed fewer errors compared to other tools, such as connection failures or network errors. We have also developed pipelines in SnapLogic capable of notifying us about long-running processes. For instance, if a pipeline that typically takes one hour runs for more than two hours, it automatically triggers an email alerting us to focus on that specific pipeline. This feature significantly reduces the need for continuous human monitoring, demonstrating how SnapLogic truly assists us.

I have only been using SnapLogic for about a year, around eight months, so I am unsure of the required changes. However, I believe that since most tools are now integrating with AI to assist new users, incorporating an AI tool could be beneficial.

Sometimes there are glitches when moving a design pipeline from the development to production environment.

I have only been using SnapLogic for about seven months.

SnapLogic is very stable.

SnapLogic is very scalable, and it can be adjusted based on our requirements, considering the organization type and the data it produces.

I have not used customer support directly, but I have utilized the integrated helping websites, which have been very helpful when I first started using SnapLogic.

Negative

I learned from my colleagues that two years ago, all our transformations were carried out in Informatica. Because of the inadequate infrastructure in Informatica, our team suggested transitioning to SnapLogic, which the client accepted. After comparing workflows in Informatica and pipelines in SnapLogic, we found that the number of errors due to network or connection issues is much rarer in SnapLogic compared to other tools. The decision to transition to SnapLogic was very beneficial, as it helped the client build a secure and robust environment for their data.

We transitioned to SnapLogic due to the lack of proper infrastructure in the previous tool.

My seniors evaluated different options, including SnapLogic, improving the infrastructure in Informatica PowerCenter, and using PySpark, but they ultimately chose SnapLogic over the other options.

My advice for others looking into using SnapLogic is that it is really easy to use. Anyone with minimal knowledge in data engineering or ETL can easily transition into a SnapLogic developer or start using SnapLogic. I have mostly covered all the topics concerning SnapLogic that I appreciate, and I have provided some suggestions that I hope would facilitate ease of use when integrated. I gave SnapLogic a rating of eight out of ten.

SnapLogic is my primary automation and integration platform that I use daily. A specific example of how I use SnapLogic day-to-day involves a number of different syncs, such as having CRM data from Salesforce syncing over to our Zendesk instance for our support teams and similarly, Salesforce going to Marketo for our marketing teams. We have various third-party platforms that we're sending logs to, such as Elastic and Zilla for security and governance, and we have various data transformations, gathering and aggregating data from various systems and then spitting that out to dashboards and Google Sheets or Tableau in various different places.

We have been focusing on AI use cases with SnapLogic lately, specifically on different sales-focused ones like a daily task looking at different Salesforce reports and trying to gather various context from Salesforce and maybe some other different systems to create a full context picture using an LLM to aggregate that, put together a report and send that on to some of our reps for them to action on.

The best features SnapLogic offers are its ease of use, flexibility, and within the interface itself, being able to rearrange the different snaps and easily see the flow of data going through the pipeline. Having the multiple outputs, being able to validate and preview data is extremely helpful in development. It is fairly straightforward and easy to use and can quickly get something up and running, at least for development.

The ease of use in SnapLogic comes from a lot of the pre-built account features, making it easy to use the different snaps for various platforms and getting the authentication portion straightforward. If I am doing a more traditional development thing, getting that authentication piece can be a bit time-consuming, and then being able to share those across multiple pipelines is extremely useful. The layout, as I mentioned, makes it easy to see how data is flowing through the pipelines, which makes it really easy for me to build and if I need to troubleshoot a pipeline someone else built, it is fairly easy to get in there and understand what is going on, even if I have not seen it before.

SnapLogic has positively impacted my organization as it is my primary automation platform and integrations, touching pretty much all of my major systems. It integrates and syncs data between all of my major platforms and has created more of these time-saving automations and the AI-assisted ones, which are bringing quicker calls to action for my teams in critical places. It has been a net positive for my team and the organization.

One thing I do not like about SnapLogic is some of the pre-built snap packs. If I want to integrate with a new system, I have to pay to get access to those. There have been a couple of instances of just different account types that I was not able to get working within SnapLogic and had to use a third party to get that data. Generally having to pay more to get access to the full feature set is a downside.

Regarding SnapLogic's AI capabilities, I find that the AI capabilities for the most part are locked behind pay, and I have not purchased many of them. I do use SnapGPT occasionally and know some other teammates who have recently gotten access and have not used the platform before tried that, but as we reviewed the pipelines that it built, they were not exactly great and we had to go through and fix a lot of things for them. It is nice when I am developing and trying to figure out an expression, as it is generally quite useful, but I cannot really speak much to the security and governance portion of it.

Regarding SnapLogic's AI capabilities, I think its accuracy and reliability of output are quite good with the expressions, but in my limited experience, the pipeline builder portions of it have not been great.

I have been using SnapLogic for roughly two and a half years.

SnapLogic is stable for the most part, although there was a pretty significant outage maybe two to three months ago, but other than that, it generally is.

The scalability of SnapLogic has been great.

I have not really used customer support much.

I was not on the team at the time we switched from Workato, but I know we were drawn to SnapLogic because the feature set and integration capabilities seemed a better fit for the team, and to grow long term.

I have seen a return on investment with SnapLogic. It is integrating all of my major platforms and we have a whole bunch of various automations for all different teams across the organization, and we are seeing a lot of time savings.

My advice to others looking into using SnapLogic is to consider the positive features I have mentioned before, as well as being aware of the downside of having to pay more to unlock more features. I give this review a rating of eight out of ten.

I utilize SnapLogic for data migration and data integration projects. I use it mainly as a middleware tool, working with a lot of SAP data. By transferring SAP data into more cost-effective databases, I can run analytics without the high cost associated with SAP provider analytics.

I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL. The interface is interactive, allowing me to quickly learn how to run pipelines and achieve production-ready results swiftly. This agility translates to cost savings, especially for smaller projects and proofs of concept, as less time and effort are needed to deliver results.

SnapLogic is doing well in evolving with the AI landscape. However, if the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial. 

Additionally, improving AI capabilities to be easily recognizable would enhance the user experience.

Although my use of SnapLogic has been intermittent, I have worked with it for close to seven years.

I would rate the stability of SnapLogic as nearly ten out of ten. It has shown to be robust and reliable.

I rate the scalability of SnapLogic as eight out of ten. While it performs well, there is some room for improvement in this area.

The technical support from SnapLogic is excellent, and I would give it a complete ten. They are prompt in responding to inquiries or issues, providing quick solutions.

Positive

I have used DBT along with Airflow as part of our current cloud data integration.

The initial setup of SnapLogic has become very easy, comfortable, and swift.

SnapLogic is positioned at around seven or eight out of ten in terms of pricing. There are competitors offering competitive pricing in the market.

DBT is a main competitor of SnapLogic. For enterprise-level solutions, I prefer DBT, yet for smaller internal projects, SnapLogic is more efficient.

Overall, I would rate SnapLogic as nine out of ten. I recommend SnapLogic for other users due to its efficiency and user-friendly features. Medium and large-scale enterprises will benefit most from SnapLogic as small-scale businesses usually rely more on open-source options. I rated my overall experience with SnapLogic as nine out of ten.