Informatica Intelligent Data Management Cloud (IDMC) Reviews

We use the tool to implement customer, product, and entity masters. We also use TDM to generate synthetic data, but not in real-time scenarios.

It's a multi-domain master data management system. The solution is easier to use compared to the other solutions. The security is good. The governance model is good. All the elements that I expect are available in the product.

The user interface can be a bit more functionality-aligned.

I have been using the solution for the last 15 years.

I rate the stability a nine out of ten.

The product is scalable.

The support team does not provide much support.

The initial setup was okay. I rate the ease of setup a five out of ten. The tool can be deployed in a minimum of eight to ten months. The implementation requires at least a team of five members. Maintenance depends on the customer's requirements. If the customer's requirements keep changing, we need a team to maintain the tool. Otherwise, one or two Informatica developers are sufficient to maintain the product.

The price is comparable.

All the tools have similar capabilities. There is nothing superior in Informatica. I'm a software integrator. I work for an IT company. I'm not the consumer. I will recommend the product to others, but it depends on the customers’ needs.

If an organization needs a good customer master, product master, or partner master, Informatica MDM will be a good choice. The solution has been in the industry for quite a long time. It has all the elements I look for in a master data management system except for customer support. All other things are fine.

Overall, I rate the solution a seven and a half out of ten.

We had proof of concepts where certain test cases were given to improve the functionality of the vendor regarding the supply chain.

So, it was a proof of concept. It was not applied in production.

It was just illustrating the capabilities of the platform, and we were comparing it with other platforms.

If we use it comprehensively, we can improve the data quality metrics or KPIs. 

So use as much data as you process, and have a solid strategy in place. If you don't have a comprehensive approach, then you don't draw any benefits or value from such a complicated platform. So, you have to have the objectives very well set up and be part of your daily activities in order to benefit from such a platform.

I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform.

It also has integration with other data governance tools from Infromatic, which is also good. 

It offers integration with some of the latest data platforms, streaming platforms like Kafka, for example. And the setup of the platform is very challenging.

Regarding the cloud, it is deployed in the private cloud of the vendor, so it poses challenges regarding the security of the data and the confidentiality of the data. There was no offering of a cloud version deployable in the client's tenant where all the data would reside.

I used it for a couple of months because it was only demoed for the client.

It is a stable product. 

The customer servive and support could be faster. There is a slow turnaround. 

Neutral

We just compared the data profiling features or data quality features between the tools. There was a rich functionality available in the system, but we did not draw any conclusions regarding how it improved or may have improved.

It was set up by the vendor for the demo. To deploy the Informatica Enterprise Data Catalog, you need at least two admins and architects. 

It enables business processes by providing trusted data that can be integrated into many processes around data.

It's very expensive. It's subscription-based. There are several levels of subscription.

The price is high, but the competitors are even higher and more experienced, like Collibra.

Overall, I would rate the solution a nine out of ten. 

I would recommend it due to the consistency of vision and very good integration between different products of Informatica. It offers wide coverage, the widest coverage of technologies from the major players.

We use the product to store data. We have established a structured system where we store all relevant information, including donor details, images, and series, ensuring easy accessibility for users.

The product's most valuable feature is the ability to select the data flow and lineage.

Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability.

We have been using Informatica Axon for more than one year.

I rate the platform's stability as seven out of ten.

We have around 400 Informatica Axon users in our organization. I rate the scalability a nine out of ten.

The technical support services at the moment are impeccable. The support team has answers for everything. They have maintained this level of quality as we progress. There aren't many issues currently, although we're awaiting the migration to the cloud.

Positive

The implementation process could be simplified.

The platform has a premium cost. I rate the pricing as seven out of ten.

The product needs to be adequately supported in the current setup. I advise others to conduct a proof of concept (POC) and assess how it progresses. The learning curve can be steep, but with sufficient time investment, they can also impart knowledge to the users, which is crucial for effective change management.

I recommend it to others and rate it an eight out of ten.

I use the solution for preparing the data according to the data quality rules.

The mapping and mapplet features are valuable. The product improves data quality. The processes are running smoothly. The interface is good. Data integration is easy.

I use the solution to integrate on-premise and cloud products. There are issues with connectors to cloud applications. The integration process is not easy. The customer experience must be improved. When we implemented it, we did it with the help of Informatica professionals. I would not recommend them as an implementer. They didn't have any experience. It was very hard. The customer experience was not good. It's hard to understand the new features of the HR list. The tool must have more options for connectors. It is hard to connect to some of the applications. The remediation process is not straightforward.

I have been using the solution for one and a half years.

I rate the tool’s stability an eight out of ten.

I rate the tool’s scalability a six out of ten. It is a bit complex to scale. We have 20 users.

The technical support is not good. The support team must improve the quality of support.

The product is cloud-based.

We got a 50% discount.

We couldn’t deliver the full project. I will not recommend the product to others. Overall, I rate the solution a seven out of ten.

I use Informatica Cloud Data Quality in my company, as most of our customers have data from different systems and just want to standardize and enrich that data. If you have data like cell phone numbers, it is important to ensure that there is a consistent format to adhere to, like the area code, IDs, or social security numbers. The tool also helps users check email addresses because sometimes a user may find that their data has an incorrect email address. A lot of the use cases related to the tool involve understanding the data from all of the systems and starting the journey to unify some of those data fields, having some consistency in how the data is being captured, and helping look at the completeness of the data. In short, the use cases are to understand the data from different systems and different sources generally. Data could come from the CSV, a web service, or out of the database, but Informatica Cloud Data Quality allows you to extract from all those sources to give you a unified interface to decide how you want to customize and standardize the data.

The most valuable features of the solution stem from the fact that the product's integration capabilities are easy to work with, along with another feature, the name of which I forgot, but I know that it helps users to compare the quality of results from two different points in time just to see if there have been any improvements.

I think Informatica Cloud Data Quality is one of the more mature cloud products, so I can't think of any areas where improvements are required. Informatica Cloud Data Quality is a product that is very similar to what Informatica offers for data quality on-premises, so there aren't too many gaps compared to the others, and I can't really think of any area requiring improvements.

I would like Informatica Cloud Data Quality to offer more integration capabilities with different platforms. I need to consider the fact that Informatica Cloud Data Quality supports a lot of the standard protocols for which most platforms use endpoints. In short, integration is not really an issue with the product.

The high price of the product is an area of concern where improvements are required.

I have been using Informatica Cloud Data Quality for a year and a half to two years.

Stability-wise, I rate the solution a ten out of ten.

It is a cloud-native microservices-based product that can manage a lot of data. Scalability-wise, I rate the solution a ten out of ten.

Though at the moment we are not currently using the product in our company, a while ago, around 15 employees used to use the product.

The solution's technical support was good. There were no issues with the solution's technical support.

I have experience with Informatica Intelligent Cloud Integration Services.

The product's initial setup phase was easy.

To get the product running, you just need to switch it on, so I don't think it takes more than a day. After deciding the sources from where your data would come from, you can decide if the cloud needs Informatica Cloud Data Quality while ensuring that nothing gets installed on the server, but the only thing you might need is a secure agent on your machine and that is really quick to set up on a virtual machine, which I feel won't take more than a day.

The solution is deployed on the cloud.

I can't remember the deployment process of the product since I am currently working in a different space.

The product's deployment was carried out with the help of a consultant, an integrator, and our company's in-house team. A consultant would be useful to guide a customer, but typically, customers tend to want some hand-holding and someone who can look towards them. Once someone shows the customers of the product how to do the deployment process, then they can do it themselves.

I have seen some benefits from the use of the solution in my organization.

It is a tool that is easy to trust with your data. The tool's service provider also ensures customer experience satisfaction from the use of the product. In one of the use cases, the tool helped the user identify which systems would be decommissioned because of the outdated data that the user had, and now that the user has updated everything, it should be much easier to cut down on those systems that they don't need to use.

The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high.

Those who plan to use the solution should conduct a pilot or proof of concept before choosing the product to understand the tool and also present the facts of the business because it will be much easier for a normal user to understand the purpose and the value that the product provides in an actual or real case scenario.

I rate the overall tool a nine out of ten.

I use Informatica Intelligent Cloud Services since it is a platform that offers cloud data governance or cloud governance policy, making it applicable to what you need. For customers who just want to understand the data better, make better decisions, provide better service, and avoid any sort of legal issues during the vacation period of its users, The product keeps up with some of the standards to adhere to some of the use cases.

The most valuable feature of the product is that, as a platform, it helps with data quality, and everything is sort of one console. The on-prem version of the product has different applications and different user interfaces, offering users consistency in the look and feel, which I like about the product.

The product's pricing is definitely an area where a bit of improvement is needed. Improvement in the product's pricing can help Informatica Intelligent Cloud Services gain more customers, especially in small and medium enterprises where there is a need to upgrade the solution.

Certain improvements are needed in the product, considering from a feature parity point of view. There needs to be some improvements in the product's upgrade options since it can allow users to see all of the on-premises features from other products that are a part of Informatica Intelligent Cloud Services.

The product's price is an area of concern and needs to be reduced, especially in Africa, where it is considered a huge investment, even if it is used in banks.

I have been using Informatica Intelligent Cloud Services for a year.

Stability-wise, I rate the solution an eight out of ten.

I rate the solution's scalability a ten out of ten.

Between 100 to 200 people in our organization use the solution.

The solution is extensively used in our company.

I haven't worked with any solutions similar to Informatica Intelligent Cloud Services since I come from a background where I had to deal with workflow and VPN sort of background and robotics, specifically software robotics.

The product's initial setup phase was a bit straightforward.

The solution is deployed on the cloud.

The deployment phase did not take a long time since the product is a cloud-native solution. Once you have your environment set up by the team to access the product with the signed permissions, the deployment phase doesn't take more than a day to be done, but ultimately it depends on the organization. After considering a lot of things required during the deployment phase, the complete deployment process won't take more than a week to be completed.

A team of technical personnel would be useful to take care of the deployment and maintenance phases of the product, as it is a broad platform.

The product's installation phase was carried out in our company with the help of Informatica's partner. Informatica's partner, who helped our company with the installation phase, works in the same industry as our company's customers, which proved to be extremely beneficial, especially from the resources point of view, since the availability of skilled resources and trained people were made available to help our company's customers on time.

Personally, I have not experienced any return on investment from the use of the solution. I have seen and heard about some use cases that fetch some return on investment for the users from the use of the solution. I haven't worked with the solution long enough on any project to see the return on investment that the product can offer.

The solution is expensive.

There is a need to make annual payments towards the license costs attached to the solution, but it is usage-based.

I would ask those who plan to use the solution to go ahead with the proof of concept stage initially and choose a scenario that they want to know more about so that they get a better understanding of the tool.

I rate the overall tool an eight out of ten.

We utilize it for two tasks. The first involves collaborating with our business team to identify specific data quality issues, and this part of the process runs smoothly. However, the second task is focused on using Informatica to investigate data issues that aren't entirely clear. This aspect doesn't yield satisfactory results, and we struggle to effectively pinpoint the problems using the tool.

When discussing data quality within IDMC (Informatica Data Management Cloud), it involves several modules, including CDI (Cloud Data Integration), CDP (Cloud Data Profiling), and Cloud Data Governance. Initially, we focused on Cloud Data Integration, which was the aspect we were already familiar with. We encountered challenges when trying to explore data quality issues using Informatica. We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog.

We are currently working on improving the user interface for our end users. At the moment, our end users do not frequently connect to Informatica for data quality because they have trouble locating the results within the platform. The remediation processes are not adequately supported within it, and we cannot easily assign data quality issues to specific individuals, nor can we send the entire results to anyone via email. While we can send reports via email, we lack the capability to attach the actual results or provide links to them. We have been suggesting these improvements to Informatica, but as of now, we have not seen any significant progress. If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience. Also, there were initial architectural misalignments with the product. We believed that Informatica could directly connect to the source systems, but while it is technically possible, doing so would significantly impact the performance of the source systems. As a result, we did not receive approval to connect directly to them, and we did not plan to maintain copies of these systems.

I have been working with it for one year.

I would rate the stability of the platform seven out of ten. We have faced a recurring issue after each quarterly upgrade or new release in their cloud platform. This problem involves the functionality that used to work correctly no longer operating as expected.

I would rate its scalability capabilities six out of ten.

Overall, I would rate it six out of ten.

We utilize Intelligent Cloud Services for various transformations during mapping, applied logic, and data manipulation. We use it to complete tasks such as using joiner, filter, and expression transformation to load data into the target table. It can integrate with any cloud system.

There are two things regarding synchronization: one synchronizes the source to the target, which can be incremental, and the other is non-incremental. This functionality keeps the data updated with the latest information.

In terms of data volume processing, Intelligent Cloud Services does not match the efficiency of Power Center. The processing speed is slower for large volumes of data. I'm not sure if there have been improvements in the latest versions as my experience is from six or seven months ago. Additionally, not all transformations available in Power Center are present in Intelligent Cloud Services, like the XML parser and normalizer.

I have been working with Intelligent Cloud Services for around three years.

Stability is quite good. I've faced no significant difficulties or downtime issues. The services were always available for my projects.

I rate the scalability of Intelligent Cloud Services as quite high. On a scale from one to ten, I would rate it as nine.

Customer service and technical support are excellent. Whenever I raised tickets, I received solutions promptly. I would rate them ten out of ten.

Positive

The setup is very simple. The administration is not involved with Intelligent Cloud Services. Informatica handles the setup since it's hosted by them.

Pricing is moderate. I do not recall the exact numbers for the license cost at the moment.

I recommend Intelligent Cloud Services for companies of all sizes, including small and medium enterprises, as administration costs can be saved, and the service offers cloud connectivity and plugins.

I'd rate the solution ten out of ten.

We use the solution for ETL.

It's a powerful tool to create data warehouse solutions for our clients. We take unstructured data and use Informatica Cloud to structure it in various ways, making it usable on a reporting front end. This enables clients to make informed business decisions based on the data.

It's the accessibility and the range of features that stand out. Before using Informatica Cloud, we were working with Informatica PowerCenter. The transition from PowerCenter to Cloud wasn't entirely effortless, but it was seamless enough for our developers to adapt and continue their work smoothly.

Our main issue is transitioning from on-premise to cloud data storage. As many clients move their data to cloud platforms like Azure, Snowflake, and AWS, we're encountering problems with Informatica. Errors that were straightforward and clear with on-premise databases now appear ambiguous in cloud environments. Our developers spend significant time reducing these generic errors, often simple issues like a column not accepting null values. This lack of clarity is causing unnecessary delays as they have to sift through logs or contact support to diagnose problems that would have been more easily identified in an on-premise setup.

I have been using Informatica Cloud Data Integration as a financial partner for over five years.

We have about seven developers. It is a scalable solution.

When errors arise, contacting support can be frustrating. Sometimes, the technician can't solve the issue and transfers us to someone else. This makes us less confident that the person helping us is truly equipped to resolve the problem.

Neutral

The initial setup is simple and depends on the task. However, it usually takes a couple of hours if development is complete and we're moving from the development environment to production.

ROI is strong because we have a structured portal that ensures development is done correctly. It is shareable, scalable, and equipped with enough monitoring tools to quickly address any issues. Ultimately, the client doesn't care what tools we use. They just want problems resolved quickly. Informatica provides the necessary tools and features to help us do that effectively.

It has premium pricing. Depending on what we're working on and which features we're using within Informatica, there can be additional costs. It's mostly data integration, but you might need to upgrade your license to include other aspects of Informatica. Certain connectors require a license upgrade to access.

Overall, I rate the solution an eight out of ten.

The solution was part of building our data warehouses, where we needed a tool for bulk data migration that didn't require mappings when migrating from a source to a target.

The product's most valuable feature is the replication tasks. It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables. 

The product interface could be improved to be more intuitive. It requires navigating through several steps to access mappings and pre-created metrics. Enhancing it to provide a more streamlined structure or dashboard would allow quicker access to maps and other essential features.

We used Informatica Cloud Data Integration for six months. 

The product was stable. I rate the stability a ten. 

We had 30 Informatica Cloud Data Integration users in our organization. I rate the scalability an eight. 

The solution didn't require much setup, and since it was browser-based, it was fairly easy to use. I rate the process a ten out of ten.

The product was pretty easy to use. The connections to other platforms worked fine. 

I recommend it to others and rate it a seven.