We use Informatica MDM to enable the master data for getting the customer's product 360.
Assistance Vice President for Data managment at Capgemini
A good product for mastering all the data and ensuring a 360 degree of the master data
Pros and Cons
- "Informatica MDM has data quality, mastering the data's capability."
- "Inserting the GenAI into the master data management will reduce the overall effort of operational activities."
What is our primary use case?
What is most valuable?
Informatica MDM has data quality, mastering the data's capability.
What needs improvement?
Inserting the GenAI into the master data management will reduce the overall effort of operational activities.
For how long have I used the solution?
I have been using Informatica MDM for five to six years.
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Informatica Intelligent Data Management Cloud (IDMC)
February 2025

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What do I think about the stability of the solution?
Informatica MDM is quite a stable solution. I rate Informatica MDM a nine out of ten for stability.
What do I think about the scalability of the solution?
Informatica MDM is quite a scalable solution. Most of our clients for Informatica MDM are enterprise businesses.
What about the implementation team?
Usually, it takes six to eight months to deploy Informatica MDM.
What other advice do I have?
Master Data Management is always only 20% implementation; the remaining 80% defines all other components. So, if users have the right process, the tool will do its job. The tool will do whatever we give input for.
Informatica MDM is quite a good product in terms of mastering all the data and ensuring that we will be able to get a 360 degree of the master data.
Overall, I rate Informatica MDM a nine out of ten.
Disclosure: My company has a business relationship with this vendor other than being a customer: partner

Head of Regulatory Reference Data Management Division at Altynalmas JSC
User-friendly, stable, and scalable
Pros and Cons
- "The ability to clean out data and improve the data quality is the best feature."
- "The cost of Informatica MDM is expensive and has room for improvement."
What is our primary use case?
We used the solution for data storage, and data cleaning to improve data quality. The solution also served as a data lake for reporting purposes.
How has it helped my organization?
The solution has made it easier for us to retrieve and maintain the data as well as saves us time.
What is most valuable?
The ability to clean out data and improve the data quality is the best feature.
The solution is user-friendly and easy to navigate.
What needs improvement?
The cost of Informatica MDM is expensive and has room for improvement. Although the solution is good, it is not worth the high cost.
For how long have I used the solution?
I have been using the solution for five months.
What do I think about the stability of the solution?
I give the stability a ten out of ten.
What do I think about the scalability of the solution?
I give the scalability a ten out of ten.
We had ten people using the solution in our organization.
Which solution did I use previously and why did I switch?
We previously used EXAScaler and switched because we were moving to the cloud.
How was the initial setup?
I give the initial setup a nine out of ten. The deployment took us one month. We prepared the environment and the deployment was completed by the Informatica engineer.
What about the implementation team?
The implementation was completed by an Informatica engineer.
What's my experience with pricing, setup cost, and licensing?
The solution is very expensive. I give the cost a three out of ten.
What other advice do I have?
I give the solution an eight out of ten.
The solution is good and I recommend it as long as the pricing fits the organization's budget.
Which deployment model are you using for this solution?
Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Buyer's Guide
Informatica Intelligent Data Management Cloud (IDMC)
February 2025

Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: February 2025.
841,004 professionals have used our research since 2012.
Senior Manager at Conduent (formerly Xerox Services)
Gives us the ability to connect to multiple sources and enterprise applications for data integration
Pros and Cons
- "Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier."
- "We would like to have accessibility to the repository."
What is our primary use case?
We use Informatica Cloud Data Integration because we have multiple sources for data integration, and we transform that data and load it into the database or QuickBooks.
There are fewer than 10 people using this solution in my organization.
I'm an integrator. I'm working with the latest version.
It's deployed on cloud.
What is most valuable?
Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier.
What needs improvement?
We would like to have accessibility to the repository. We had that feature in Informatica PowerCenter, and we were able to have access to the repository query, which helped us build some tools, audit tools, and review tools. In Informatica Cloud, accessing the repository query is a challenge.
For how long have I used the solution?
I have used this solution for about six years.
What do I think about the stability of the solution?
It's very stable.
What do I think about the scalability of the solution?
It's scalable.
How are customer service and support?
We reach out to technical support frequently. We've had good experiences with them.
Which solution did I use previously and why did I switch?
We previously used PowerCenter, DataStage, and Oracle Data Integrator.
I prefer Informatica Cloud Data Integration because of the ease of connecting to various connectors and various enterprise applications. The UI is also a valuable feature.
How was the initial setup?
Initial setup isn't straightforward or complex. It's about medium difficulty.
Deployment took about one week. It's not difficult to maintain.
What about the implementation team?
Deployment was done in-house.
What was our ROI?
From the usage perspective, there is minimum ROI.
What's my experience with pricing, setup cost, and licensing?
The pricing is high compared to other tools on the market.
What other advice do I have?
We chose Informatica Cloud because we have Salesforce. If you're using Data Integration, App Integration, and many other features like operational insights, then the price is worth it. If you're only using the solution for data integration, then the price definitely isn't worth it.
Which deployment model are you using for this solution?
Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Senior Technical Lead / Practise Architecht at TEKsystems (ex Aston Carter)
Great for data management with a good fuzzy matching feature
Pros and Cons
- "The fuzzy matching capability is a great feature."
- "We currently have issues with real-time integration."
What is our primary use case?
We use MDM to get more data quality. We are partners with Informatica and I'm a senior technical lead and practice architect.
What is most valuable?
The fuzzy matching capability is a great feature as is the network hierarchy which is the new concept code.
What needs improvement?
I think the UI could be improved. We're also currently facing issues with real-time integration and if Informatica had their own it would be helpful. They need to look into the user mechanism and the security access mechanism in the data governance process. One of the major features is access control and access data management and they need to work on that because I have observed some data glitches.
For how long have I used the solution?
I've been using this solution for six years.
What do I think about the stability of the solution?
The solution is stable.
What do I think about the scalability of the solution?
The solution is scalable. There is room for improvement in terms of scalability with the MDM SaaS. With limited data it's fine, but with a large volume the scalability is questionable, the threshold of data transaction is different. We are a service-based company, so there are limited users within the company. From the customer side, there are multiple users.
How are customer service and support?
We sometimes have technical issues and the customer support responds in a timely manner and is quite good.
How was the initial setup?
The initial setup is easy. Deployment takes around 15 minutes and we have 22 internal users in our company.
What's my experience with pricing, setup cost, and licensing?
We pay an annual license. Mobile players are unable to afford the product. Different MDMs have different pricing approaches but there needs to be room for mobile players.
What other advice do I have?
We went with Informatica because we have functional and non-functional requirements with respect to the market data management of our customers and Informatica is a suitable product for their needs.
This is a good solution although it's expensive and even though we are integrated with Oracle DB2, we're unable to integrate with multiple things. The market is changing and there are many more options so we have to think about the integrations of multiple databases.
There are some additions or improvements that could be made so I rate this solution eight out of 10.
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
MDM Customer Portfolio Manager at a pharma/biotech company with 10,001+ employees
It eliminates the need to run a full tokenization process during the match and merge process, but Informatica's internal testing should have caught many of the bugs we found.
What is most valuable?
The improved interface (IDD), eliminating the need to run a full tokenization process during match & merge process allowing 24x7 access to on-line users, and its better interface in console.
How has it helped my organization?
In the previous version, over 5,000 users of our on-line customer maintenance application were unable to use the application for approximately 12 hours every weekend while the match & merge function was run. Since upgrading, the overall time to execute M&M has decreased and the on-line users are able to add, update & search for customer records 24x7.
What needs improvement?
We experienced several basic issues with the product that required daily meetings with Informatica product specialists. Several Emergency Bug Fixes (EBFs) were required to fix the issues. It was felt that the vendors internal testing should have caught many of these issues and not been found by a customer.
For how long have I used the solution?
I've used it for six years.
What was my experience with deployment of the solution?
Deployment was very smooth due to extensive planning between the development and application support teams. A two week outage was planned and communicated. However the overall outage lasted only eight days. Running the Readiness scripts in production for several weeks before deployment, eliminated this step from the deployment process, and corrected data issues. Also, deployment activities ran faster in production environment than they did when performing upgrade steps in other environments (Dev, Val & POC).
What do I think about the stability of the solution?
Several issues were encountered in production that required immediate remediation that were not found during the 10 week QA cycle. After four weeks that system is stable and the operations team is able to complete daily & weekly cycles without issue.
What do I think about the scalability of the solution?
There were very few changes to the database, and the same number of customers were being processed. A HealthCheck by Informatica was performed before starting the process to assure that the existing infrastructure was adequate for the new version.
How are customer service and technical support?
Customer Service:
Overall it's very good. Once a point person was assigned by Informatica, all the issues were consolidated into a single tracking spreadsheet that was reviewed daily. Tracking tickets were still submitted, but we did receive expert attention to resolve issues quickly.
Technical Support:Very good. Although, most technical support is off-shore, and there were issues with working time that prevented internal staff from interacting with off-shore experts.
Which solution did I use previously and why did I switch?
No – just a long over due upgrade from 9.0.1 to 9.7.1.
How was the initial setup?
The upgrade process is straightforward, and well documented. This process was executed multiple times as different environments were being built. By the time the production environment needed to be upgraded, it was almost standard. A separate Proof-of-Concept (POC) environment was developed to allow the developers to “play” with the new version and test functionality.
What about the implementation team?
A combination of in-house and a vendor team. It was difficult to find anyone who had expertise with 9.7.1, so both teams learned during the project. The vendor team (Wipro) did have Informatica MDM experience in various version that allowed them to contribute to the design of the upgraded system.
What's my experience with pricing, setup cost, and licensing?
We have a global license which was outside of the cost of the upgrade project.
Which other solutions did I evaluate?
No other options were evaluated.
What other advice do I have?
The upgrade is straightforward if you currently have Informatica implemented. Don’t wait too long to upgrade, we waited five years between upgrades, and will not do so again. If this is you first MDM implementation, spend as much time forming data governance program as you do on the technical piece. The major vendors in the MDM space (Informatica, IBM, SAP & Oracle) have similar functionality. Informatica has been slowly integrating their legacy ETL product into the former Siperian product to make a very robust product.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
IT Director at Softpath System, LLC
Enables secure data protection during testing and controlled access to sensitive information
Pros and Cons
- "Informatica Persistent Data Masking can mask production data for different users, ensuring that only authorized individuals can access sensitive information."
- "Once the data is masked, we won't be able to reverse it back to its original value."
What is our primary use case?
Test data management is a common use case. When conducting testing in lower environments, we want to avoid exposing sensitive information. To achieve this, we use Data Masking to modify the data.
For example, we change personally identifiable information, phone numbers, and emails so that they cannot be viewed. The modified data retains the structure and format but doesn't reveal the actual information.
What is most valuable?
The tool is mainly valuable for testing teams, as it helps protect sensitive data during testing. It can also be used to mask production data for different users, ensuring that only authorized individuals can access sensitive information. These are the main reasons why we use this tool.
What needs improvement?
I think there's only one area that could be improved. Currently, when we apply the Data Masking rate, we don't have a way to view the masked data. It would be helpful if there was a feature to allow us to see the actual information.
Once the data is masked, it cannot be reversed. Having the ability to revert it back to the actual value would be beneficial, especially if we need to see the original information. Although our enrollment has decreased, it would still be helpful to have that feature.
For how long have I used the solution?
I have used Data Masking as part of my work.
What do I think about the stability of the solution?
Stability is good. It's definitely reliable.
What do I think about the scalability of the solution?
Scalability is good. It's definitely scalable to handle higher volumes across different platforms as well. It performs well in terms of scalability.
Additionally, when it comes to implementing more source systems, there haven't been any issues.
How are customer service and support?
Our experience with customer service from Informatica has been excellent. They are always available and responsive.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup is generally straightforward. However, there can be some challenges during the on-prem installation process, even though we have the steps and prerequisites. Dealing with installation issues is quite common, but overall, it's not excessively complex to set up.
The need for maintenance depends on the team. Sometimes, the solution you configure in the tool determines the level of maintenance required. However, overall, maintenance hasn't been a significant issue.
What other advice do I have?
Overall, I would rate the solution an eight out of ten.
Which deployment model are you using for this solution?
On-premises
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
Supports integration with most cloud source but lacks multithreading feature
Pros and Cons
- "The advanced features like task flow and conditional integration are particularly useful."
- "Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance."
What is our primary use case?
We use Informatica Cloud Data Integration to load data from files to TelSource or Oracle tables. We also apply business rules to transform the data before loading it into the respective targets.
What is most valuable?
Most of the features are good. The advanced features like task flow and conditional integration are particularly useful. There are multiple transformations we can use in Dashflow, which are beneficial. We don't use features like centralization and data marketing because they aren't relevant to our use case. Our primary focus is on task flow, which allows us to design our jobs and execute them conditionally.
What needs improvement?
Some features require an additional license, such as Elastic Mappings. Most of the features provided are through Elastic Mappings, not the data integration service which causes restrictions. For example, the recently enabled source partitioning isn't applicable to Salesforce, which we use as our target or source. We primarily seek features that enhance performance for Salesforce and ICS Integration, aiming to reduce job execution time.
We don't have the license for Elastic Mapping, so we can't use that feature. Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance.
For how long have I used the solution?
I have been using Informatica Cloud Data Integration for five years.
What do I think about the stability of the solution?
The product is stable.
I rate the solution’s stability a seven out of ten.
What do I think about the scalability of the solution?
20-30 users are using this solution.
I rate the solution’s scalability a five out of ten.
How are customer service and support?
Support is good.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup is very easy. When I first started using it, I installed a 30-day trial version. I personally explored it during that period, and it was good.
It takes 30-40 minutes depending on the jobs.
I rate the initial setup a ten out of ten, where one is difficult, and ten is easy.
What other advice do I have?
The team is very user-friendly, meeting our expectations much like PowerPoint does.
It supports integration with most cloud sources, including AWS, and has various cloud connectors. So, It's a good choice for anyone.
Overall, I rate the solution a seven out of ten.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Last updated: Aug 8, 2024
Flag as inappropriateSenior Manager at Conduent (formerly Xerox Services)
Helps us export APIs and process data, and provides OAuth feature for authentication
Pros and Cons
- "The OAuth feature is the most valuable feature for authentication."
- "There's no direct way to connect to Amazon APIs from Informatica Cloud."
What is our primary use case?
We export APIs, and anyone can seek those APIs to have the data for target use cases. We hit the APIs that are exposed by external systems, and we get the data from them and process it.
We're using the latest version. It's deployed on cloud.
There are about five people who are using this solution in my organization.
We chose Cloud API Integration to connect to Salesforce.
What is most valuable?
The OAuth feature is the most valuable for authentication.
What needs improvement?
Recently, we're trying to connect to the Amazon API. There's no direct way to connect to Amazon APIs from Informatica Cloud. From Postman, there's a signature site called AWS Signature, which would actually generate the signatures for us with AWS APIs. In Informatica Cloud, we have to build the logic, and then we can generate the signature and hit the AWS APIs. Instead of generating that signature, it would be better if we could have the same connector in Informatica Cloud.
Sometimes when I open the processes or any service connectors, the labels are not properly displayed. The backend names are displayed rather than the front end label. I usually log out and log back in, and sometimes it disappears, and sometimes it doesn't.
For how long have I used the solution?
I have used this solution for six years.
What do I think about the stability of the solution?
It's pretty stable. We don't have any concerns.
What do I think about the scalability of the solution?
It's scalable.
How are customer service and support?
I would rate technical support as six out of ten.
How was the initial setup?
Setup is straightforward. It takes a week to do the installation and configuration.
It's not difficult to maintain.
What other advice do I have?
I would rate this solution as eight out of ten.
I would recommend this tool to other users.
Which deployment model are you using for this solution?
Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.

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Product Categories
Data Management Platforms (DMP) Data Integration Data Quality Business Process Management (BPM) Business-to-Business Middleware API Management Cloud Data Integration Data Governance Test Data Management Cloud Master Data Management (MDM) Solutions Data Masking Metadata Management Test Data Management Services Product Information Management (PIM) Data ObservabilityPopular Comparisons
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