SnapLogic Reviews

SnapLogic serves as our primary ETL tool to replace legacy ETL tools and move data through our systems. Processing events data is our best example, where event information comes from third-party platforms that we need to incorporate into our internal data ecosystem.

SnapLogic has led to faster delivery of many pipelines that previously would have taken much more time to develop. Our organization can now process data faster and engage in many more business value-added activities that follow after importing data into our ecosystem.

SnapLogic has halved our pipeline delivery time. Given that we have fewer technical team members who are able to develop, this has been a really beneficial saving.

SnapLogic is very adaptable, and the best features are the Snap Packs that come included, the patterns, and the knowledge base, which allow us to quickly build ETL flows with all of the tools at our disposal.

These features have made everything significantly easier and smoother because we have templates to start developing standard pipelines. This creates a sense of reusability, allowing us to develop our own patterns and apply them. For instance, something that works for one third-party events platform but may require slight customization for another can be easily copied and tweaked to integrate a different source platform.

The AI Snap GPT function within SnapLogic has been really beneficial. It has allowed some of our developers who are relatively new to the tool to cut down their learning time and address the learning curve with the product.

More native support, particularly around the Agent Creator AI agent tool, would be beneficial. Expanding to have native Anthropic support would be beneficial for our organization specifically.

More native support for other large-scale LLMs such as Anthropic would be helpful. Additionally, more training to address the learning curve would be valuable. However, there is a good amount of information in the knowledge base, and Snap GPT has been extremely beneficial.

We have been using SnapLogic since the start of 2025.

SnapLogic itself has relatively good capabilities and output. Sometimes it does take a little time to learn exactly how to ask Snap GPT to get the right response, but this comes quite naturally after some trial and error.

SnapLogic is very scalable. We have been experimenting with broadening its use case and delivering an increasing level of jobs and concurrent pipelines, and none of these have faced any performance or reliability bottlenecks.

Customer service from SnapLogic has been excellent.

We previously used a solution called Scribe, which is an ETL tool that is no longer under maintenance support, and this was one of the reasons why we needed to switch.

We looked at the incumbent, Scribe, and we also evaluated Power Automate, but that did not solve all of our problems. We also looked at Talend, but the pricing was a limiting factor.

SnapLogic is a highly scalable, adaptive, and forward-thinking solution, particularly if AI agents is something you wish to develop. You can be certain that you will get a responsive customer support experience with a knowledgeable group who are very proactive about solving your business use cases. The flexibility of SnapLogic should broadly cover many use cases. I would rate this solution a 9 out of 10.

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.

My main use case for SnapLogic is automating data ingestion. I am using SnapLogic to automate data ingestion by collecting data from sources such as AWS or SAP and then enriching data and loading it into a data cloud. That is the main way I'm using SnapLogic right now.

The best features SnapLogic offers include a fantastic interface, and being able to drag and drop and connect core components with minimal configuration and coding is really helpful and streamlines the deployment process.

The drag and drop interface and streamlined deployment have helped my team day to day by allowing us to deploy new processes far quicker than we would have done historically. SnapLogic has positively impacted my organization so far, with very positive feedback. There is potential to offload debt to SnapLogic to close out very complicated historic data flows. We have definitely saved time from using SnapLogic, but we don't have specific metrics just yet as the product is still in deployment at the moment.

SnapLogic can be improved. My only initial suggestion is that the AI agent is a little overly friendly. That is the main thing for now regarding needed improvements. There is some confusion in the documentation, but the overall product seems very good, and those are the additional improvements I would like to see in SnapLogic.

I have been using SnapLogic for three months.

SnapLogic is stable.

SnapLogic has been very scalable so far, and we have deployed multiple Groundplex nodes with ease.

Customer support has been very good, as we have had multiple calls per week helping us set up the platform. The knowledge and the information provided on these calls is really valuable. I would rate the customer support on a scale of one to ten as a ten.

We did use a different solution previously, which was a proprietary developed workflow within the business, and that is why we switched.

I was not involved in the pricing, but I did take over the setup. The Groundplex installation, for example, was very easy.

We do not have relevant metrics with us just yet regarding a return on investment, such as time or money saved so far.

Before choosing SnapLogic, I evaluated other options, including Visual Cron.

My advice for others looking into using SnapLogic is to definitely spend some time exploring what SnapLogic can offer; it is a fantastic product. I would rate this review an eight out of ten.

SnapLogic is used for system integration, similar to SSIS, and also for more complex integrations such as integrating our HR system to various partner systems, both on-premises and cloud-based.

We now have a single publisher from our HR system that is triggered and managed by SnapLogic, which delivers it out to various partner systems. This allows us to support benefits for our employees, employee tracking, and employee reporting in a secure and safe way.

SnapLogic is also used in conjunction with our event bridge for event processing, functioning almost as an adapter. It allows us to take messages off our event bridge and integrate with systems that would not naturally talk in an event-based way.

The best features SnapLogic offers are the low entry knowledge, making it very simple for somebody to pick up and work with the product. SnapLogic has great AI-based features, not only from an MCP server point of view but also internally within the tool itself, and it utilizes AI in a sensible way that really helps developers deliver quickly.

Within the mapping tool of SnapLogic, there is now an AI prompting feature which allows you to take source data and use AI to map it to the target. This allows you to do almost no-code work. For example, you could say, 'Take this date, reformat it, and if it's in this date range, do X or Y.' Another feature is pipeline creation, where you can ask from a prompt base, saying 'Deliver me a pipeline that does this,' and then refine it repeatedly to deliver a pipeline very quickly with very low manual input.

The biggest improvement observed from using SnapLogic is speed. SnapLogic allows us to deliver at a higher pace, which in this modern age really helps with the business. It has helped us manage our estate better through the use of not being responsible for the actual platform itself, but just building upon it. SnapLogic takes products such as BizTalk and Dell Boomi to another level, and I think that's one of the things that has really helped people engage and work with the product.

One thing that comes to mind about SnapLogic is that the product is always improving, which is a great thing, but the changes in the UI and the way things keep moving around mean that a level of stability would help achieve a higher adoption ratio.

The changes in the UI have frustrated a few people, which is why a nine for SnapLogic is justified. Additionally, some of the snaps could do with greater functionality. For example, the SOAP snap could be opened up to allow broader usage.

Regarding SnapLogic's AI capabilities and its governance and security, as you determine the model that it uses, this is very much on the developer or implementer to provide that level of control. SnapLogic is open to lots of models and works with any AI model out there, and that exposes a risk. This creates a risk that you could provide your own sensitive data out to a public model. Therefore, it is very much on the developer to make sure that security and the level of data retention is kept in-house.

Regarding SnapLogic's AI capabilities, the accuracy and reliability of output is subject to hallucinations, just any AI model. The accuracy is no better or worse than any other platform. In some ways, it does help with the prompting and helps make a better prompt, which will give back better data, but it is no better or worse than ChatGPT.

SnapLogic has been used since Drax purchased it, which is about four to four and a half years.

SnapLogic is stable.

Within our state, there have been no problems with SnapLogic's scalability.

Customer support from SnapLogic has been brilliant. We do have an elite service contract with SnapLogic, and we always get any challenges, questions, and issues resolved very quickly. SnapLogic's customer support receives a perfect rating.

Drax has used a number of solutions before SnapLogic over the years, including BizTalk, Tibco, and Service Bus. The goal was to find one platform that is fit for the future, allowing us to do everything that we do today in a more consistent way.

Regarding return on investment with SnapLogic, I was not involved in the financial side. Definitely not fewer employees are involved; rather, people use it in a better way to deliver quicker.

Before choosing SnapLogic, we looked at most of the top right quadrant Gartner partners, including Informatica and Dell Boomi. However, SnapLogic stood out as the right choice for us.

My advice for others looking into using SnapLogic is to get your model for platform as a service support decided as soon as possible. The more you can stabilize and share the platform, the quicker you will see a return. My overall rating for SnapLogic is nine out of ten.

I connect system to system, and sometimes I do applications to applications as well. When required, I build some APIs in SnapLogic and expose them to customers.

From a general automation perspective, when a business wants to automate a particular use case, it can be anything. For example, tickets are getting created in ServiceNow where I need to automate the ticket creation with the information I receive back to Jira or something similar. I connect with systems such as ServiceNow and Jira and automatically create an automation workflow that connects these two systems to make the process automated, which saves manual effort.

I work on many use cases across different domains, such as HR, sales, and many other domains. I use SnapLogic in the regular way, as it needs to be used.

From an impact perspective, SnapLogic really helps me as a middleware level platform. It helps me to automate many integration workflows. As for improvements, the monitor that I currently use sometimes gets stuck and I am not able to expand and view the child pipelines in a much easier way. On the monitor part, I can do some fine-tuning, which would help the developer, citizen integrator, or any support person easily monitor the pipelines and easily access the pipeline logs. That would be very beneficial. There are also many other areas that I can work on where I see that these areas would be beneficial for a larger group and I can try to implement those points.

I cannot share the exact numbers or percentage, but I can say that SnapLogic has really helped my team in saving time because due to this automation, I do not need to do the manual activity. The person's effort is saved, the time is saved, and many other things are improved. Due to this automation, I see better results compared to the manual ones because the logic I have added to the automation is more specific and more static. Sometimes when I do it manually, I might end up making some small errors, but as I have built it as an automation workflow, there will not be any minor issues. This is considerably a good time-saving solution.

The best feature is that it is easy to use because it provides a UI level and drag and drop options, which are simply easy for anybody to kickstart and use much easier compared to some complicated ones.

Another valuable feature is that SnapLogic has been providing more connectors, which means more Snaps when compared to the past. This gives developers or citizen integrators the ability to connect various new systems or applications as well.

For new users who have started to explore SnapLogic, they can simply understand from the name what each Snap does. For example, file reader and file writer make it clear what the exact functionality will be. The catalog provides easy drag and drop and connect capabilities. The AI assistant helps me with some examples referring to what the next Snap I can use will be. This kind of additional feature benefits the new users who are going to use SnapLogic for the first time. This adds ease to their experience.

I use many features and I feel they are good. SnapLogic is compatible in many areas and provides better features when compared to other integration tools.

One area would be improving the monitor. Another few things I would mention is that I would like better logs to debug in case of any issues, other than just understanding from the pipeline statistics level. I would appreciate some additional logs where on a need basis, I can enable the slots and the traces will be available at the server level so that I can capture the end-to-end what is happening, such as request, response, and things. This feature would be really helpful at the time of critical P1 issues, which I can use.

As I mentioned earlier, with few corrections in the monitor and logging and few other areas that I correct and improve, SnapLogic will be much more scalable than others. This is the reason I have given this rating.

I have been using SnapLogic for around 7.5 years.

For reusable ones, I am building some pipelines where I am actually using the reusability concepts. Performance-wise, it is completely based on the server setup that I have. This is something based on the business use case or based on the business I will be thinking it and putting up the server capacity. Performance-wise, I do not see any issue.

I have been using SnapLogic from the beginning.

I would say time saved.

As of now, nothing.

I would suggest that if someone is looking for data integration, application integration, and API building in one tool, then SnapLogic is one of the options which they can give a try.

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.

I have been using SnapLogic for one and a half years on various multiple projects from the perspective of data migration and ingestions.

My main use case for SnapLogic is migrating some legacy product data to our newest products.

A specific example of a migration project I handled with SnapLogic involved our legacy product, which has multiple modules within it.

Regarding my main use case and other ways I use SnapLogic, we import the data as part of the ingestion process. We edit the data into an Excel tool in an Excel sheet and, using SnapLogic, read the data from the Excel sheet and load it into our newest product.

The best features SnapLogic offers in my experience include excellent REST APIs and batch processing, which is a standout feature.

Batch processing has helped us load around five to six lakh records within two to three hours, which involves loading thousands of records in a single shot. This helped our process reduce from eight hours to a couple of hours.

SnapLogic has positively impacted my organization because the professional services team has been running the pipelines and migrations very easily without any technical knowledge or dependency on technicalities.

This has made my team more efficient and freed up time for other projects. It significantly reduced the migration timeline for multiple customers, as there is no dependency on developers to run the migrations, allowing us to move to other particular migrations from the development perspective instead of running the same pipeline and staying on the same product.

API integrations are also really good to handle from a front-end perspective or any interface perspective regarding the features.

Regarding how SnapLogic can be improved, I think the Snaplex page can be improved without any downtime. There are some updates with SnapLogic that are not very stable before the release. This can be improved so that there will be no downtime impact for us.

I have been using SnapLogic for one and a half years on various multiple projects from the perspective of data migration and ingestions.

Regarding SnapLogic's AI capabilities, the accuracy and reliability of output are 50-50, but there is a lot of scope for improvement because I cannot rely on SnapLogic or SnapLogic AI or SnapGPT for the development which I am currently handling.

Regarding SnapLogic's AI capabilities, I think the governance and security are fine, but there is some scope for improvement with respect to security and access to personal level data.

The advice I would give to others looking into using SnapLogic is that it is a low-code tool and can be helpful for people who are just getting into software engineering or data engineering. This should help developers gain much confidence before starting with coding.

I am not really sure about the details of a business relationship with SnapLogic other than being a customer, but I am sure that we are a customer of SnapLogic. I do not know what kind of business relationship exists.

I would rate this product an 8 out of 10.

My main use case for SnapLogic is importing data to my CRM. I use SnapLogic by taking data from the JustGiving platform through an import file dropped into a specific location and loading it into my CRM.

The best features SnapLogic offers include its low-code nature, which makes it relatively easy for developers to pick up, and it has a wide range of connectors.

Reusability has been important for us with SnapLogic as well as being able to build MinePlexes and reuse them. We are also getting to grips with some of the AI capability.

SnapLogic has positively impacted our organization by allowing us to remove a big risk and cost in removing a legacy integration platform, and we have built the foundations to gain significant efficiencies in our integrations.

We want to get to grips with some of the automated testing functionality in SnapLogic, but we have not had the time to do that yet.

The main frustrations for us with SnapLogic have not been the technology, but the usual things of stakeholder capacity constraints and other hold-ups to the project.

One improvement that would be beneficial is better visibility of SnapLogic's environmental credentials.

I have been using SnapLogic for 18 months.

SnapLogic has been reliable for me with no downtime or disruptions.

SnapLogic's scalability as our needs grow or change is good.

The customer support for SnapLogic is very good.

I do not have any specific outcomes or metrics to share regarding time or money saved or how my team's workload has changed.

Learning SnapLogic for my team was fairly easy.

My experience with SnapLogic's documentation and learning resources is pretty good, although it always feels as though there is more to learn.

SnapLogic's integration with my existing systems and tools is easy and good.

SnapLogic's performance and speed when handling large data volumes are good. We have hit some snags, but we believe that is more on our CRM side than SnapLogic.

My advice to others looking into using SnapLogic is to go for it. I would rate this review as a 9.

I mainly use it for data integration and some API tasks.

I find the reusability and the snaps to be very valuable features. There are quite a lot of snaps that are pre-delivered and available for use. The level of control in terms of the granularity of process control is quite good. 

I also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.

I am quite happy with the solution and do not have specific requirements at the moment. I tend to frequently communicate with SnapLogic to ask for additional features, and they have been responsive. While new features are always welcome, I do not have anything else at the top of my mind currently.

I have used the solution for three or four years.

I would rate customer service an eight and a half out of ten.

For me, the initial setup is simple. I have used both an on-premises solution and the platform-as-a-service option, and both are quite straightforward.

The setup cost would be four or five. There would be only one point of improvement if the price could be lower.

I considered MuleSoft and found SnapLogic to be cheaper and their offering to be a lot less complex. There is not a lot of pricing, processing, the number of things, or other complicated aspects.

I can recommend SnapLogic to other users and the product overall. Overall product rating is nine out of ten.

The main use case for using SnapLogic is to integrate external systems to Syndigo. For example, we have XML files that need to be converted into our Syndigo format to create entities in the Syndigo system.

The best features are that we can quickly consume the Snaps which are already available, so we don't need to write scalable code. We can quickly integrate our systems via SnapLogic Snaps, and that speeds up our integration process.

The pre-developed Snaps are really helpful for both non-developers and developers, and that reduces the time for integrations significantly.

Implementing the pipeline quickly, rather than developing code, has impacted us tremendously.

If we develop the same integration using any of the latest technology, it would take a minimum of one or two months. Using SnapLogic, we can develop the same logic via Snaps within two or three weeks, which provides tremendous time saving as well as cost reduction.

When we face errors in the existing scheduler run, we cannot trace the logs. Adding more logs in the existing Snaps could make it much easier to debug errors.

If more logs were added to the existing Snap, users could debug errors and view log information more effectively.

I have been using SnapLogic for the last one year.

Customer support is really good.

Previously, we were using a private app via Java logic to integrate the system.

It has really saved our time when we are using SnapLogic integration systems.

We have not validated or evaluated any other options.

SnapLogic AI capabilities have good potential, particularly with the integration and automation features.

The AI provides accurate and useful outputs, especially for common integrations.

SnapLogic is easy to learn because SnapLogic itself provides documentation for each individual Snap, making it easy to read and understand the existing Snaps.

When creating the scheduler, we provided email notifications for successful scheduler runs or failed scenarios, so whenever we receive the email notification, we go and check the monitoring tool to debug the failed scenario.

It is easy to connect with external systems via the existing Snaps, something like the 365 Snap or the API endpoint Snap.

The documentation provided by SnapLogic is really helpful, and it is all up-to-date information.

SnapLogic has a mapper Snap where we need to configure the mapping, and for simple and collection mapping as well as complex mapping transformation, there is an individual syntax to transfer the data.

We have created multiple users to provide them access only to specific project access.

SnapLogic processes a large amount of data within a shorter period of time and has good scalability for handling large integration data. I would rate this review 9 out of 10.