The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation.
Technology Lead at a computer software company with 5,001-10,000 employees
Excellent scalability, in a class of their own, with time tested features
Pros and Cons
- "The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
- "One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises."
What is most valuable?
What needs improvement?
One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises.
For how long have I used the solution?
I have worked with Informatica Data Quality for the past four and a half years.
What do I think about the stability of the solution?
You have excellent stability in the market in comparison to other data solutions.
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.
What do I think about the scalability of the solution?
We find that scalability is not an issue and have installed it on fourteen servers.
How are customer service and support?
I have a lot of issues with their customer support and not getting the required technical information, which we actually need unless you can do a call with their senior technicians. Most of the cases that you raise are assigned to a junior technician.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup is simple for a person who knows the company. If you already have one of their products you will find yourself comfortable doing the deployment. If you do not have experience with the company it is medium in relationship to complexity.
What other advice do I have?
I would continue to encourage the upgrades that are taking place every other one in order to release the new and relevant features. I would rate Informatica Data Quality an eight out of ten.
Which deployment model are you using for this solution?
On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.

Software Architect at a manufacturing company with 501-1,000 employees
It has become an easy way to exchange information through any cloud application.
Pros and Cons
- "It has become an easy way to exchange information through any cloud application."
- "The biggest challenge I see is the IDE's for the cloud and automization are different."
What is our primary use case?
Our primary use case for this product is two-fold:
- Reporting- If the users want to visualize into a meaningful report then they would pass on that as a requirement to the Informatica team. This goes to the Informatica team, which will then apply the business rules and validation, cleansing or whatever else is needed on top of the data set.
- ETL-There is a lot of information that is required by multiple downsizing applications. So, if the file of information is huge, it does not fit into application integration use case so then Informatica can take a huge set of data and pass it onto several downsizing applications.
How has it helped my organization?
It has become an easy way to exchange information through any cloud application. As the overall solution guidelines that we get from our solution checking, a connection to an outside cloud application cannot be a direct integration.
What is most valuable?
My most valuable features of this solution are that the DI team uses the Informatica Powercenter, which is an automized tool that Informatica provides. For quite some time, they have been using this. So, the cloud products are coming from the same school of thought, which makes it more believable that it can do whatever it is required to do. And, I think that was the primary reason for going with Informatica on Cloud The majority in terms of dating their product promptly is something that is quite apparent.
What needs improvement?
The biggest challenge I see is the IDE's for the cloud and automization are different. They could have made an IDE in such a way that you can write an integration for the cloud. If I had the flexibilty of making that decision later, that would be a great benefit to have.
In addition, another improvement could be if you develop and design your integration without being connected to the server. If you could deploy it anywhere, that would be helpful.
For how long have I used the solution?
One to three years.
What do I think about the stability of the solution?
I think that it is the best in the category.
What do I think about the scalability of the solution?
It is scalable.
How are customer service and technical support?
We have our own team that helps us with support issues. I do not have any experience with the Informatica tech support team.
Which solution did I use previously and why did I switch?
We also have prior experience with IBM Cast Iron.
How was the initial setup?
I was not involved on the initial setup.
What was our ROI?
A product must have: quality, performance,good pricing and scalability.
Which other solutions did I evaluate?
We also considered MuleSoft. We reviewed MuleSoft and found it to be a competitor that has some of the features missing from Informatica. But, it is not completely a perfect competition because it is more into application integration and API management. But, I think that Informatica can aspire to do the same.
We also considered Dell Boomi Atmosphere, but we did not do much research into that particular solution.
What other advice do I have?
The amount of usage that we see in Informatica on Cloud is going to increase. And, correspondingly, the usage of the automized version of Informatica that we use is going to decrease because exchanges are going to be more towards the cloud.
I suggest that someone considering this solution should take a minimilaistic free license, and do a proper analysis of the solution.
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.
Principal Consultant at Epical Group
A stable and powerful tool that provides good support and excellent out-of-the-box features
Pros and Cons
- "It is easy to create REST-based interfaces of the master data objects."
- "The tool should provide a unified user interface to manage the data objects."
What is our primary use case?
We use the solution for party data management. The tool ensures that the information is the same in every business system so that all the systems have the same view of what parties are involved in an agreement.
What is most valuable?
It is easy to create REST-based interfaces of the master data objects. It can be used for reading, creating, and modifying the master data objects of the parties, their addresses, and contact information. The creation and modification features always consider the data quality rules, and it is a very powerful way to provide a data interface to master data objects. It is missing in many other tools.
The solution meets the performance needs of my organization. There isn't much that Informatica doesn't do. The maintenance of the data quality rules has been improved. It’s a lot better than it was when we started. Replacing the old SOAP APIs with the new REST APIs is a great improvement. It’s still a work in progress. Some interfaces still use the old SOAP APIs.
What needs improvement?
The management of different properties is sometimes divided between different user interfaces. The tool should provide a unified user interface to manage the data objects.
For how long have I used the solution?
I have been working with the tool for ten years.
What do I think about the scalability of the solution?
The tool can scale according to our needs.
How was the initial setup?
The initial setup was not difficult. We had very good support from Informatica’s professional services.
What about the implementation team?
The team was a mix of in-house, vendor and other consultants.
What's my experience with pricing, setup cost, and licensing?
The product has a high price point. However, it does not lack features. TIBCO EBX and Profisee are much cheaper. However, they lack features that Informatica MDM provides out of the box. Though the list price of Informatica MDM is high, it is negotiable.
Which other solutions did I evaluate?
What other advice do I have?
I do not have experience with the new workflow engine. It is much more extensible because it is a full business process engine. Overall, I rate the product a nine out of ten.
Disclosure: My company has a business relationship with this vendor other than being a customer: Former reseller
Sr Data Governance Architect at Mresult
Provides good scalability, but its technical support services need improvement
Pros and Cons
- "It is a scalable product."
- "It is complicated to establish the lineage in EDC using PowerCenter mappings."
What is our primary use case?
We use the product to define policies and for data discovery management.
What needs improvement?
It is complicated to establish the lineage in EDC using PowerCenter mappings. We have to do the process manually every time. This particular area needs improvement.
For how long have I used the solution?
We have been using Informatica Axon for five years.
What do I think about the stability of the solution?
It is a stable platform. However, we need to raise the ticket even for the smaller issues. There needs to be proper documentation available. They should provide enough information.
What do I think about the scalability of the solution?
We have eight to ten customers for Informatica Axon. It is a scalable product.
How are customer service and support?
The technical support team takes time to complete the debugging process.
How was the initial setup?
The initial setup process is fine, but there are a lot of infrastructure issues. It includes errors on the node cluster for EDC. Deployment is easy, but debugging is time-consuming. Whenever we raise the ticket to the support team, they take two to three days to evaluate the issue.
What's my experience with pricing, setup cost, and licensing?
The licensing price of the product depends on the organization's requirements. It is less costly than Collibra.
What other advice do I have?
I recommend Informatica Axon to others and rate it a seven 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
MDM COE Lead at LTI - Larsen & Toubro Infotech
Core master data management solution that offers robust match concepts and algorithms
Pros and Cons
- "It has been leading the market with hierarchy management and all the different match concepts and algorithms. They're very robust."
- "Informatica's issue is the licensing. Right now, there are a lot of new gen MDMs that are offering a lot in a single licensing model."
What is our primary use case?
We use this solution primarily for core master data management and deduplication.
Recently, they have come up with cloud versions, which I have not experienced. It's mostly deployed on-premise.
We have a limited number of users who are using this solution and working with the master data.
What is most valuable?
Initially, there wasn't a great product competing with Informatica for market management. It has been leading the market with hierarchy management and all the different match concepts and algorithms. They're very robust.
What needs improvement?
Informatica's issue is the licensing. Right now, there are a lot of new gen MDMs that are offering a lot in a single licensing model. VOS or Entity 360 are offering licensing differently.
For how long have I used the solution?
I have been working with this solution for more than 10 years.
What do I think about the stability of the solution?
It's stable and reliable.
What do I think about the scalability of the solution?
It's scalable.
How are customer service and support?
I have had mixed experience with technical support. Sometimes it's very quick. Sometimes there isn't a quick turnaround and we don't have a person to reach out to directly to get an answer from them.
How was the initial setup?
Installation was challenging. Informatica has a very robust engine, which takes a little bit of time, but they're stable.
We have a technical team of 50 people. Deployment depends on
the size and complexity of the requirements. Starting from scratch, any new implementation should take around five to six months. For new gen MDMs, the implementation can be done in three and a half months.
What was our ROI?
The ROI depends on the business requirement. If they're using their core master data and that data is helping them to address a lot of issues, then the return on investment is definitely very high. If an organization isn't using that to full scale, then it might not be that great.
What's my experience with pricing, setup cost, and licensing?
It's offers value for money. They're more competitive with respect to pricing and offerings.
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:
Consulting Associate at a consultancy with 1,001-5,000 employees
There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie.
Pros and Cons
- "Axon does one interesting thing that I don't think other tools do as well. It lets you rate data and incorporates Informatica's data quality feature into it. There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie."
- "The cloud version of Axon is far behind the on-prem, and many of my clients want to go fully to the cloud. However, Axon has to be an on-prem installation. I would like to see their cloud products catch up with their on-prem capabilities."
What is our primary use case?
The organizations I work with often have trouble getting buy-in from business users and understanding how data governance relates to them or where the data lineage is. We use Axon in two key areas.
The first is automating data governance processes, policies, and roles in terms of data stewards, data owners, etc. Those process flow charts are typically stored in a PowerPoint, Excel, or board document. Everyone involved in data governance would have to send emails manually and such. Axon allows them to automate all that. So if there's a data owner that needs to update a definition, a request that needs to be flagged, or a data quality error, all that is embedded into the Axon system. That's one reason our clients go with it.
The use case is embedding the data or the business glossary into the day-to-day workflow. For example, we could integrate it with Tableau. When people are looking at a Tableau report, they understand exactly what the data lineage is and where this data is coming from. They'll also know exactly what those business glossary terms mean, so they can more accurately interpret and analyze the report.
What is most valuable?
Axon does one interesting thing that I don't think other tools do as well. It lets you rate data and incorporates Informatica's data quality feature into it. There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie.
Users can comment on the data, tag people, and ask questions or rate the data one to five based on their experience, which helps eliminate data silos. You have all your information right there, and it's easier for future users to know which data to draw from.
What needs improvement?
The cloud version of Axon is far behind the on-prem, and many of my clients want to go fully to the cloud. However, Axon has to be an on-prem installation. I would like to see their cloud products catch up with their on-prem capabilities.
I would like to see Informatica add more automation and AI. Some of that is already there, but it would be helpful to have some automation to speed up the process of manually tagging and moving components of your IT setup into your business glossary and the front end.
For how long have I used the solution?
We started our first Axon implementation at one of our clients in the fall of 2021. Two of my other clients are about to purchase the technology and start using it.
What do I think about the stability of the solution?
Axon is stable.
What do I think about the scalability of the solution?
Axon is scalable.
How are customer service and support?
Informatica support has been good. These data governance and metadata products are some of the newer products on the market technology-wise, so I've been impressed with their responsiveness and the tool's maturity.
How was the initial setup?
Installing Axon is straightforward. If the cloud version were more robust it would be easier, but it's just fine for the on-prem solution. Two people should be enough to deploy and support it.
What other advice do I have?
I rate Informatica Axon nine out of 10. If you're planning to implement Axon, I recommend having an identified data governance lead. I think the most difficult part of implementing this is getting your people and processes aligned, so you know what you're putting into the system. Having a clear data governance manager is the most helpful data governance practice for an organization.
Which deployment model are you using for this solution?
Hybrid Cloud
Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
Sr. MDM Architect/Principal MDM Consultant at a tech services company with 201-500 employees
It is scalable and comes with good staging and hierarchical features, but its look and feel needs improvement
Pros and Cons
- "The staging and hierarchical features are the most valuable."
- "Its look and feel needs improvement. It has a lousy look and feel. Informatica PIM is designed specifically for the retail industry. They need to make sure that it is also applicable to all the other industries and verticals."
What is our primary use case?
We would like to centralize all our product information systems. Currently, the product information is stored in various disparate systems, and we would like to bring it to a single place.
What is most valuable?
The staging and hierarchical features are the most valuable.
What needs improvement?
Its look and feel needs improvement. It has a lousy look and feel.
Informatica PIM is designed specifically for the retail industry. They need to make sure that it is also applicable to all the other industries and verticals.
For how long have I used the solution?
I have been using Informatica PIM for almost two years.
What do I think about the stability of the solution?
It has 75% stability.
What do I think about the scalability of the solution?
It has good scalability. Because of the cloud, we are able to expand it. Sometimes, we do run into issues, but it is mostly good.
We have around 250 to 300 users with IT, business, data governance, and DQ roles.
How are customer service and technical support?
We haven't yet contacted them.
Which solution did I use previously and why did I switch?
We used an Oracle solution. We switched to Informatica PIM because of the licensing cost.
What about the implementation team?
The initial setup was done by Informatica. We didn't face any issues.
What's my experience with pricing, setup cost, and licensing?
We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry.
What other advice do I have?
I would suggest to watch out. Informatica PIM is designed specifically for the retail industry. To use it for manufacturing, you need to think twice and make sure that it satisfies your business requirements. When you are asking for a free demo from Informatica, make sure that you tell your use case and ask them to configure it in a way that suits your business use case. Otherwise, it is not going to solve your problem.
I would rate Informatica PIM a six out of ten.
Which deployment model are you using for this solution?
Private Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Enterprise Architect at a mining and metals company with 1,001-5,000 employees
Good at extending the data model but not for the complete handling of the data analytics
Pros and Cons
- "It has flexibility in extending the data model."
- "The data quality component is very good."
- "The advertising makes promises about data analytics that it does not keep."
- "Pre-sales technical support is much better than post-sales technical support."
What is our primary use case?
I am not quite sure that the product will be part of our use cases anymore. We started off with it because of the data lineage. In other words, we used it because we also used the older Informatica program and it had been serving a purpose for us as a data management tool. But now we are in the process of developing our own solution for at least part of that functionality.
We currently plan to keep Informatica MDM, but not for the complete handling of the data analytics. We use MDM for data gathering in big data environments. We start with Informatica and do further analysis outside the product.
What is most valuable?
I think the most valuable part of Informatica is the flexibility in extending the data model. I think that is the biggest benefit. The data quality component is also an important part of it.
What needs improvement?
I have begun to lose track of what needs to be improved because we only use the product now for what it is best at and in those areas it does not need improvement.
There are two main things and that make up the complete Informatica suite solution. One is the insight into the data lineage which was a huge promise made by the product, but one that it never delivered in practice. That was the big problem that we are trying to solve in another way. The second part of the solution, especially for MDM is its ability to use the data by integrating with other process engines.
So the insight into the data or the data analysis part needs to be improved.
For how long have I used the solution?
I have been using Informatica MDM (Master Data Management) for about two years now.
What do I think about the stability of the solution?
Informatica has been stable. It does not have downtime during processing.
What do I think about the scalability of the solution?
I would say that Informatica is scalable. Right now we have about 20 people using the product directly. The scalability would be in the volume and types of data it can scan and collect and it is good at performing these services.
How are customer service and technical support?
With technical support, there is a big gap between sales, presales, and support for the end-users. Like with the data analysis the process starts good but in the end, there is no delivery. There are too many promises and too little delivery. So the support could be also improved after the sales, or I would say that the post-sale support should be improved to be in alignment with the pre-sale support.
How was the initial setup?
Informatica is definitely not easy to install. In order to do the installation and to set up the whole program, I would say it is complex.
What other advice do I have?
On a scale from one to ten (where one is the worst and ten is the best), if I were to rate Informatica MDM and I had a review site, I would mark it as a seven-and-a-half out of ten possible points. It has not delivered on all it has promised.
Which deployment model are you using for this solution?
On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.

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