Our primary use case for this solution is purely for data quality analysis.
Data Quality Manager at a financial services firm with 10,001+ employees
Works well and has a good interface
Pros and Cons
- "I am impressed by the solution's interface."
- "Informatica is very expensive."
What is our primary use case?
How has it helped my organization?
It took us a while to teach our users how Informatica works and to help them understand. We are still learning together with them because it also took us a while to master the tool. The contractors that come with Informatica are good on the ETL side but not that good on data quality.
What is most valuable?
The features I find most valuable are the mappings and rules. I am also impressed by the solution's interface. I really like this solution, as it works very well.
What needs improvement?
The visualization is very limited. It's not modern age, it's not self-service BI. It only has three levels of granularity on which you can present data and that's not enough. What's more, we had a few problems with the configuration. At times we found it difficult to integrate with other systems, but it turned out that the problem wasn't with the solution but with our firewalls. We had a couple of bugs but they are all fixed now.
Another feature I would also like to see is tagging. At this stage, we can't tag data in the database of the data source with particular data flows. This is a nice feature that other solutions have and that Informatica lacks. We have to analyze and store data in a database and then we have to analyze it again and go through the servers. This takes up double storage. So if the data could be tagged at the database instead, anybody who has access to this data will know if there is a problem with the accuracy or anything else.
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Informatica Intelligent Data Management Cloud (IDMC)
September 2025

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For how long have I used the solution?
I've been using this solution for three years now.
What do I think about the stability of the solution?
I don't think the solution is very stable because we have to refresh and restart the server at least once a month, or even more often. We couldn't understand what was causing this, perhaps we have a few bugs. But at times one team will be working and everything will be running, and then the other team will have some access issues. All we could do to fix this was to restart the server and then everything was up and running again.
What do I think about the scalability of the solution?
The scalability is very good. We have about 30 users and this may increase because our organization constantly needs more people, so people see the benefit because it's stable and it gives consistency. We will probably move to big data analytics and purchase their big data applications.
How are customer service and support?
To be honest, we didn't really have any major issues yet but the technical support is good and they have a dedicated tech person assigned to us by Informatica to supports us. It works well because if we have a problem that our own IT team can't fix, they use Informatica to help them.
Which solution did I use previously and why did I switch?
I used IBM InfoSphere before but Informatica is much, much better; gold standard. There is no comparison. The interface and everything else is better.
How was the initial setup?
The initial setup was very complex. It is mainly our own fault because we didn't go for the solution that was recommended by Informatica. We used shortcuts that backfired on us and we've been struggling for a year. In the end, we did exactly what Informatica recommended at the beginning and now everything works fine.
We have an integration team that is responsible for maintenance and deployment.
What's my experience with pricing, setup cost, and licensing?
Informatica is very expensive. But luckily we got enough free licenses, so we are still within limit.
Which other solutions did I evaluate?
Informatica has been the best solution for the past 10 years, but now there are new tools emerging. So maybe we will switch in the future.
What other advice do I have?
I would advise others to go for it because I love it. Maybe there are better tools, but I don't know about them. I would use it in conjunction with Tableau and Google Analytics for visualization. I would also suggest others to follow instructions during the initial setup and not to cut corners. Do the configuration exactly as Informatica suggests.
I love Informatica but I am not sure if it is value for money. Organizations that plan to increase their users may find it worth the money, but smaller organizations may want to use something simpler.
I will rate this solution an eight out of ten. My rating would have been nine if the solution offered tagging and if it was cheaper.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.

Delivery Director at a computer software company with 1,001-5,000 employees
Needs to improve technical support and not suited for small companies due to price and integration
Pros and Cons
- "The product is stable."
- "I would like to have the solution in one product and technical support needs to be better."
What needs improvement?
I would like to have the solution in one product and technical support needs to be better.
What do I think about the stability of the solution?
The product is stable.
What do I think about the scalability of the solution?
The solution is scalable.
How was the initial setup?
Informatica Axon is easy to deploy and takes six months to install. We would need five people for the solution's deployment.
What's my experience with pricing, setup cost, and licensing?
Informatica Axon is expensive.
What other advice do I have?
I wouldn't recommend the tool to small companies due to price and integration. I would rate the tool a seven out of ten.
Disclosure: My company has a business relationship with this vendor other than being a customer. Partner
Buyer's Guide
Informatica Intelligent Data Management Cloud (IDMC)
September 2025

Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: September 2025.
868,787 professionals have used our research since 2012.
Delivery director at Poslovna Inteligencija
User-friendly tool supporting connectivity with different devices
Pros and Cons
- "It is one of the best tools available for data integration."
- "The cloud version could be better in terms of pricing."
What is our primary use case?
We use Informatica Cloud Data Integration for data integration and building data pipelines.
What is most valuable?
It is one of the best tools available for data integration.
What needs improvement?
Though it is a robust tool, the cloud version could be better in terms of pricing.
What do I think about the stability of the solution?
It is a stable solution.
What do I think about the scalability of the solution?
It is a scalable product and works better than other cloud solutions. It is extensively used by 15 users in our organization. We have plans to increase the usage.
How are customer service and support?
The product's technical support team is helpful and responsive.
How was the initial setup?
The product's deployment process is easy. It requires two system engineers to support our consultant in setting up the environment. They have to consider how to connect it to an ecosystem of other tools, databases, and data sources.
What was our ROI?
The product generates a return on investment. It speeds up the development process.
What's my experience with pricing, setup cost, and licensing?
The product is highly-priced.
What other advice do I have?
I recommend Informatica Cloud Data Integration to others. It is user-friendly and supports connectivity to almost all devices. It has great technical support services as well.
I rate it an eight out of ten.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Lead Data Engineer at a tech services company with 51-200 employees
Excellent for extracting technical metadata, but tricky to scale
Pros and Cons
- "The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."
- "The scalability is tough."
What is our primary use case?
The primary use case of this solution is to extract technical metadata, tag the data dictionary, and profiling. We also use it for lineage and relationship aspects.
How has it helped my organization?
I recommend Informatica to my clients based in the finance and banking sectors. It has been very helpful.
What is most valuable?
The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application. They have a custom resource that allows us to customize no matter which source system we have, and we can customize it to extract the technical metadata.
What needs improvement?
They are moving from on-premises to the cloud. I expect all the on-premises features in the cloud version as well.
For how long have I used the solution?
I have been using the product since 2019.
What do I think about the stability of the solution?
It is a perfectly stable solution and a leader in data governance tools in the current market.
What do I think about the scalability of the solution?
The scalability is tough. For example, if you want to increase the scalability in the middle of the project, it would be a challenging process, but it is doable. As consultants, we analyze the requirements from the client end and, based on that, suggest the infrastructure for scalability.
How are customer service and support?
Customer service is a piece of cake if you are a premium member. You need to raise a ticket, and they will immediately respond. For example, they will let you know if it is a limitation; if it is a bug, they will provide you with emergency bug fixes.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup is easy. If we compare version 10.4 and version 10.5, they had a major architectural change in terms of infrastructure. The setup for version 10.5 became easier.
What about the implementation team?
The deployment was straightforward, and it took 10-15 minutes to deploy the solution, including migrating technical metadata (importing and exporting).
What other advice do I have?
I would recommend that rather than implementing it on a complete whole enterprise project, start with some small system or a small project first. And from there on, you can move on one step at a time.
I would rate the product an eight out of ten.
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 and consultant
Lead Data Engineer at a tech services company with 51-200 employees
Good electronic data capture, Easy to set up, and great technical support
Pros and Cons
- "The best thing about Informatica Axon is that it integrates with the Electronic Data Capture and the Axon system."
- "The stability and the integration of the solution have room for improvement."
What is our primary use case?
Informatica Axon is based on the needs of business people. A business analyst or salesperson would be able to make the most of its features. It is important to have three tools for a successful data governance project. These are Informatica Axon, a data catalog, and data quality. They need to be integrated, whether it is an on-premise or cloud project. The purpose of Informatica Axon is to help us manage our technical metadata and business metadata. Technical metadata is information about our source systems, such as what type of system they are, for example, Oracle, SQL, Snowflake, Cloud; and what data is being extracted from them such as table columns or source systems. Business metadata is information about our data, such as its meaning or purpose. When it comes to business metadata, we can mention that starting from the roles, responsibilities, policies, processes, and whatever the complete organization follows. We can bring all these business metadata, and we can map or tag each technical metadata and business metadata using glossaries. Informatica Axon could be a one-stop shop where we can understand the data. If we want to understand the data, we need to know where it comes from, whether this data can be trusted, whether the data quality is good, and whether this data has access to everyone or whether we are restricting the user privileges. These are the things we'll be considering when using Informatica Axon.
What is most valuable?
The best thing about Informatica Axon is that it integrates with the Electronic Data Capture and the Axon system. We have policies and processes in place to ensure that everything runs smoothly. However, it's important to work closely with the business person to ensure that all their needs are met. We need to coordinate with the business team as well because the inputs have to be communicated from both the end IT and the business team as well.
What needs improvement?
The AC integration between EDC and Informatica Axon has room for improvement for the on-premises version, but that has been taken care of with the cloud.
The stability and the integration of the solution have room for improvement.
For how long have I used the solution?
I have been using the solution for three years.
What do I think about the stability of the solution?
The solution is not stable.
What do I think about the scalability of the solution?
We can only achieve scalability on the cloud. However, if we want scalability on-premises, this can be a tricky process that takes time because we need to increase the number of code, and CPU.
How are customer service and support?
The tech support team is very good. They have a brilliant team knowledgeable on whatever solution we need help with. The technical support team always tries to find a solution or workaround themselves before asking for help from others. If the solution is on the cloud, the support is quicker, but on-premises, it may get delayed because the technical support team needs to apply the emergency bug fix.
How was the initial setup?
The initial setup on-premises is straightforward. Setup for EDC is a little difficult when compared to versions 10.4 and 10.5. The major architecture change in the enterprise data catalog made it easy to set up.
We only have to run the installer and follow the instructions. There is no deployment process. Whether we will have the solution in dev, UAT, and SAP. There will be only two types, non-prod, and prod. There is no manual setup. We need to do whatever we are doing in non-prod and prod as well. There is no migration with the EDC tool or data quality.
What other advice do I have?
I give the solution an eight out of ten.
There are three types of users, super admin, admin, and web users. The number of total users depends upon the license. Informatica Axon provides a license based on the number of users we have.
The best data governance tool on the market is Informatica Axon. Axon EDC, Axon Data Catalog, and the data quality are the very best combination for cloud for data governance.
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
Solution Architect at Refinitiv
Lacking features, migration strategy needs improvement, but reliable
Pros and Cons
- "Informatica Cloud Data Integration is stable."
- "The cloud version of the Informatica, it's a very substandard product. They might say it's enterprise-ready but it's not at all ready. They need to add more features, such as improved data replication features. If you look at other tools, such as Matillion they are now cloud-native and flexible. Additionally, Informatica Cloud Data Integration should have a good migration strategy from Informatica PowerCenter to Informatica Cloud Data Integration."
What needs improvement?
The cloud version of the Informatica, it's a very substandard product. They might say it's enterprise-ready but it's not at all ready. They need to add more features, such as improved data replication features. If you look at other tools, such as Matillion they are now cloud-native and flexible. Additionally, Informatica Cloud Data Integration should have a good migration strategy from Informatica PowerCenter to Informatica Cloud Data Integration.
For how long have I used the solution?
I have been using Informatica Cloud Data Integration for approximately 17 years.
What do I think about the stability of the solution?
Informatica Cloud Data Integration is stable.
What do I think about the scalability of the solution?
The scalability of Informatica Cloud Data Integration can be good if you plan well with your enterprise.
How are customer service and support?
The technical support from Informatica Cloud Data Integration is good.
I rate the support from Informatica Cloud Data Integration a four out of five.
What was our ROI?
We have received a return on investment using Informatica Cloud Data Integration.
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
Practice Head - Advanced Analytics & Cloud at a computer software company with 201-500 employees
Simple to install, with automatic updates and good community support
Pros and Cons
- "It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
What is our primary use case?
We are resellers.
What is most valuable?
It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades. Informatica is in charge of all those things. Additionally, the SLA on the cloud is better.
What needs improvement?
Not all transformations are supported, unlike PowerCenter. However, I'm confident that they will include this in the roadmap.
For how long have I used the solution?
I have over 15 years of experience working with Informatica tools, and we have worked with Informatica Cloud Data Integration in the last 12 months.
How was the initial setup?
The installation is simple because it is on the cloud.
It is dependent on the number of jobs you have and so on. However, from a skill set standpoint, you only need one person to maintain this solution. You can also play a developer or administrator role. These are fairly straightforward roles with a lot of community support.
What's my experience with pricing, setup cost, and licensing?
I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same.
What other advice do I have?
It is dependent on the requirements. If the transformation requirements are not too complex, I believe they can use the Cloud. However, if they have too many application systems to connect to, or too many databases, and require richer transformation capabilities, they can use PowerCenter.
We have a partnership with Informatica.
I would Informatica Cloud Data Integration an eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
Disclosure: My company has a business relationship with this vendor other than being a customer. Partner
Architect at Wipro
Best tool for matching capability and handling large volumes
Pros and Cons
- "Informatica MDM stands out as a tool that can give you the flexibility needed for doing channel-specific data quality or business validation."
- "The configuration process is pretty lengthy and challenging and could be made easier to understand."
What is our primary use case?
Typical use cases for Informatica MDM include consent management (for a large telecom vendor in Australia), master-data consolidation and analytics for vendors, facilitating vendor onboarding, and syndicating and automating global data synchronization networks.
What needs improvement?
The configuration process is pretty lengthy and challenging and could be made easier to understand.
For how long have I used the solution?
I've been using Informatica MDM for over ten years.
What do I think about the stability of the solution?
Informatica MDM is a very stable product.
What do I think about the scalability of the solution?
Informatica MDM is highly scalable - we've set it up for a customer with over a hundred million customers, and the system worked quite well.
How are customer service and support?
Informatica's technical support is great - I was amazed by the quality of their technical people and the support they provide, as well as their willingness to provide it.
How was the initial setup?
Because it's on-prem, the initial setup is of medium complexity.
What other advice do I have?
Informatica MDM stands out as a tool that can give you the flexibility needed for doing channel-specific data quality or business validation. I don't think any tools come near it in terms of its matching capability and the volume it can handle. Unless your budget is a constraint, it's definitely the way to go. I would give Informatica MDM a rating of nine out of ten.
Which deployment model are you using for this solution?
On-premises
Disclosure: My company does not have a business relationship with this vendor other than being a customer.

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