We are using it for multiple purposes, such as real-time data integration and data migration. It allows seamless integration of various cloud-based applications and services.
Assistance Vice President for Data managment at a consultancy with 10,001+ employees
Has built-in features that ensure excellent data quality
Pros and Cons
- "The solution provides increased efficiency while still being user-friendly and easy to operate."
- "It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
What is our primary use case?
What is most valuable?
The solution provides increased efficiency while still being user-friendly and easy to operate. It includes built-in features that ensure data consistency and accuracy, resulting in excellent data quality.
What needs improvement?
It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality. It would ensure improved decision-making processes and better insights.
For how long have I used the solution?
I have been using this solution for three to four years.
Buyer's Guide
Informatica Intelligent Data Management Cloud (IDMC)
January 2026
Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: January 2026.
881,733 professionals have used our research since 2012.
What do I think about the stability of the solution?
Our experience with the stability has been quite good. I would rate it nine out of ten.
What do I think about the scalability of the solution?
The solution's scalability is one of its key aspects. It facilitates the scaling of data integration capabilities based on customer's needs.
What about the implementation team?
The deployment process depends on the client's requests. If it requires complex tools and features, the process will take longer. But for normal operations, it is really easy and not very time-consuming.
What other advice do I have?
I have been very satisfied with the feedback I was getting with Informatica Cloud Data Integration. Its automated performance enables the processing and integration of large volumes of data quickly and efficiently. I would rate this solution nine 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
Data Architect at a comms service provider with 1,001-5,000 employees
Good for data governance, data quality and data exploration
Pros and Cons
- "The features for data quality, data cataloging, and UI are excellent."
- "Permissions, scalability, and connection with other informatic tools are the main areas that need development. Integration with other tools, such as IDQ, is challenging. The management of data discovery is highly challenging because many data points have identical definitions."
What is our primary use case?
The primary use case is for data governance, data quality, data lineages, and data cataloging.
How has it helped my organization?
It is used by an internal team for data discovery. However, we are not able to provide business area-level access to other users because of data security.
What is most valuable?
It's a good product, and the features for data quality, data cataloging, and UI are excellent. It has a lot of advantages.
What needs improvement?
The major points of improvement are stability, integration, and permission to sub-folders or categories of data. If you want to provide access to a particular type of data discovery to a team, it exposes a lot of data points which in turn makes Axon not that useful for them.
Permissions, scalability, and connection with other informatic tools are the main areas that need development. Integration with other tools, such as IDQ, is challenging. The management of data discovery is highly challenging because many data points have identical definitions.
Mostly, this will come under the data security permission level or admin access.
For how long have I used the solution?
I have been using Axon for a year, but I have been using other solutions from Informatica for five years now.
I currently use the latest version of Axon.
What do I think about the stability of the solution?
I would rate the stability a three or four out of ten. It's not loading at all and it keeps on getting down.
What do I think about the scalability of the solution?
I would rate the scalability a six out of ten. There is room for improvement.
We developed something on IDQ on the data quality side. If there is a huge data or a big workload, it takes a lot of time to run and we don't get the result in Axon.
There are around 10 to 15 end users using Axon in our organization.
What about the implementation team?
There is a different team for platform maintenance, management, and deployment. There are around ten people on the team. It's a mix of engineers and developers.
The platform team had some difficulties with admin-level things and keeping Axon up all the time because it's on-premises.
What was our ROI?
What's my experience with pricing, setup cost, and licensing?
The solution is expensive.
Which other solutions did I evaluate?
Not on the governance, but I have used Databricks, Azure Synapse, Oracle, and other services by Azure.
Databricks is my personal favorite because of the scalability and the runtime it takes to load a large amount of data from a data engineering and data science perspective.
What other advice do I have?
I'll probably look for another solution because it has stability issues. When it's needed, it's usually unavailable.
However, it is a good product the way it's designed. It's a very good product, and it has a lot of features that are required for data governance. It moved all the Excel work to our web page, which can be accessible to everyone. It's a good product, but it needs some improvement.
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 does not have a business relationship with this vendor other than being a customer.
Buyer's Guide
Informatica Intelligent Data Management Cloud (IDMC)
January 2026
Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: January 2026.
881,733 professionals have used our research since 2012.
Principal Data Engineer at a energy/utilities company with 10,001+ employees
The solution integrates well with data cleansing engines, though it needs to be more intuitive
Pros and Cons
- "Informatica MDM has a defined data model we can customize with user and developer options."
- "It could be a bit more intuitive, rather than technically complex."
What is our primary use case?
Informatica MDM is a multi-domain product for any master data management. We could use it for customer master data management or supplier data. Given the nature of the business, we can apply Informatica MDM to master the core data entities within an organization.
What is most valuable?
Informatica MDM has a defined data model we can customize with user and developer options. The solution's user interface allows users to work with the master data model. Another feature I like is that the solution can integrate with various data cleansing engines, such as address cleansing or data quality-related packages or functionalities.
What needs improvement?
From a data or master data management perspective, the solution is pretty evolved. But from a business process automation workflow standpoint, it could be a bit more intuitive, rather than technically complex, such as in workflow alteration using ActiveVOS. The solution also needs adaptive rules elaborating AI/ML technologies.
For how long have I used the solution?
I have been working with Informatica MDM for ten years now.
What do I think about the stability of the solution?
The solution is robust and stable enough.
What do I think about the scalability of the solution?
With master data, we don't usually talk about tons of data. There could be a lot of records, but then it's not that huge. Now that Informatica is shifting towards the cloud as part of their software, they would have considered the scalability perspective, which is not too huge. Like transactional databases, we would expect less data there. The solution is mature enough to cater to a wide range of users.
How are customer service and support?
We have a huge dependency on support all the time. If something is required or unclear or doesn't work, we have to raise a ticket and follow a process to resolve it. The turnaround time is long sometimes.
Even for simpler questions, we still have to be put on hold and wait for someone to pick up and respond. Even if the problem is critical, support does not treat it with the same urgency we would anticipate or expect.
How would you rate customer service and support?
Neutral
How was the initial setup?
One would need professional services from Informatica to get MDM installed, and there has to be a contract with professionals all the time after that to manage the data model and any changes to the data. Moreover, there is a huge dependency on their professional services to work with the product in the long-term perspective.
The setup is not complex for professionals, but people without a technical background would not be able to set up the solution by themselves.
Once the installations are complete, there are two aspects to the solution. One is the back-end, which is the model, then setting up integration to load the data and configuring the MDM system to perform its master data capability. The other part is the front end, which is deploying the user interfaces and ensuring the user roles are defined and set up.
When deploying the solution, the whole project team needs to be around because the developers, the users, and everybody on the project team must come together because once it is deployed, it needs to be tested. Maintenance teams would be separate. They need to focus on any minor enhancements to the solution and provide support with any bugs, issues, or questions users might have with the data.
What's my experience with pricing, setup cost, and licensing?
I have heard from customers that the product comes with a huge license cost. Under contractual terms, Informatica does not let us have full control of our own datasets, but that comes down to how the billing and licensing work. The licensing is a bit complex and expensive.
Which other solutions did I evaluate?
I have experience working with Informatica MDM. However, I have been comparing it against MS MDS to see how each stands. More from a costing perspective, a licensing standpoint, or any roadmap from a product's perspective, for which MS MDS has no plans to expand or evolve to a newer product with more capabilities. That's something I am checking in the background. Given the current landscape in my organization, both tools coexist, but we are trying to see if we need to replace one with the other.
What other advice do I have?
At the moment, Informatica is the market leader within the MDM space, expanding into the latest data integration and management advancements. I don't see MS MDS in these areas. But then again, MS MDS has been treated as a legacy system within the organization, and we're trying to find a roadmap to replace it with Informatica by understanding what it offers comparatively.
The solution is pretty evolved from an MDM perspective, and it seamlessly integrates with its product suite.
We work with the on-prem version. We have seen the cloud version, but we're not there yet because it takes a long time to onboard all the businesses onto the cloud. The cloud version is still at a proof of concept stage.
Before purchasing the solution, the user must understand the licensing and cost structure, as well as their professional support. All these aspects are important on an ongoing basis. Depending on the wide suite of products they offer, it's best to understand which products would suffice the business needs rather than having to roll out a full-blown MDM solution, which is not the case with all the clients.
I rate the product a seven out of ten.
Disclosure: My company has a business relationship with this vendor other than being a customer. Integrator
Technology lead developer at a computer software company with 10,001+ employees
This is a secure solution that helps easily verify DQ rules
Pros and Cons
- "Some of Axon's valuable features include creating your business glossaries, importing DQ rules, and creating change management."
- "They could improve technical support because it is not good enough at the moment."
What is our primary use case?
I manage the environment and admin-related tasks.
I have integrated Axon into EDC, PowerCenter, and data quality tools, and I face no difficulty integrating with those tools.
I also handle installation, configuration, and troubleshooting issues, in addition to when users face access issues or need help seeing their DQ technical roles.
How has it helped my organization?
With Axon, you can easily call and verify DQ rules. You can also upload your business gallery, and the business team can easily verify your data because it is secure.
What is most valuable?
Some of Axon's valuable features include creating your business glossaries, importing DQ rules, and creating change management.
What needs improvement?
They could improve technical support because it is not good enough at the moment.
For how long have I used the solution?
I am a consultant and have been working with Informatica Axon for three years.
What do I think about the stability of the solution?
I rate the stability an eight out of ten because I have not yet seen the environment go down.
What do I think about the scalability of the solution?
I rate the scalability of the solution a five out of ten. We have faced some performance issues. We have about five or six Axon business users who are data owners and stewards. They are not very active with the solution.
Personally, for the last month, I have not touched Axon or the servers. There are no plans to expand Informatica Axon's usage at the moment.
How was the initial setup?
I rate the initial setup a seven out of ten. The clients gave us their Linux servers, and I set up the solution on-premises.
I could set up the environment, the installation, and the configuration in one day.
My organization's initial steps required us to get licenses for the installation, and we needed specific kinds of ports opened from our environment. We first needed to install the Axon agent and Axon server on different directories. Once we did that, we needed to update a couple of files to communicate with data quality and other functions.
The solution requires some maintenance. I might have to perform a sync-up or make sure the environment is not down, but that is very rare.
What about the implementation team?
The solution was implemented in-house, with me deploying the solution single-handedly.
What's my experience with pricing, setup cost, and licensing?
I rate the pricing a six or a seven out of ten because the price is neither too high nor too low.
What other advice do I have?
Informatica is a big name in the market and the tools are trustworthy, which is why our client chose Informatica Axon-EDC. I 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. consultant
IT Director at a computer software company with 501-1,000 employees
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
General Manager/Data Lead at a maritime company with 10,001+ employees
It has a marketplace that allows you to showcase all the assets the data owner has
Pros and Cons
- "Axon has a marketplace that allows you to showcase all the assets the data owner has, so they can request access. That's one feature we use extensively. Axon also offers great visibility and intuitive searchability, allowing you to easily search data assets. You can check the lineage and see the work EDC does. EDC handles all the classification, cataloging, and lineage. It's integrated with Axon, and anyone can see that."
- "Though EDC has maximum coverage, a few things were not available to scan, but I think EDC is evolving to address this issue."
What is our primary use case?
Axon is a platform that lets everyone see all the data assets, business glossaries, lineage, catalog, classification, etc., but the real activities are being done on EDC.
We have only been using Axon for a short time in my organization, and we are decommissioning it, but I used the solution at my previous organization for data governance projects. Data owners, software developers, and architects all access the solution. In total, we have around 150 to 200 users on it.
What is most valuable?
Axon has a marketplace that allows you to showcase all the assets the data owner has, so they can request access. That's one feature we use extensively. Axon also offers great visibility and intuitive searchability, allowing you to easily search data assets. You can check the lineage and see the work EDC does. EDC handles all the classification, cataloging, and lineage. It's integrated with Axon, and anyone can see that.
What needs improvement?
Though EDC has maximum coverage, a few things were not available to scan, but I think EDC is evolving to address this issue.
For how long have I used the solution?
I have been working on Informatica EDC and Axon for nine months.
What do I think about the stability of the solution?
Axon is stable.
What do I think about the scalability of the solution?
Scaling isn't a problem. It depends on how the implementation is done. Kafka is scalable If the implementation has an image, and it would definitely be scalable on the cloud. We run Axon on our private cloud instead of a Kubernetes cluster. If we wanted to implement it on Kubernetes, we could scale it easily.
How are customer service and support?
I rate Informatica support eight out of 10.
Which solution did I use previously and why did I switch?
We tried an open-source solution, but we stopped it midway through the project and adopted EDC and Axon. We also started using Atlas and Ranger.
How was the initial setup?
Setting up Axon wasn't too complicated. One to three people were involved. It took about three months to implement the solution and onboard various data assets. It was a continuous process, which means we were onboarding new assets as soon as we got them. After deployment, we only need one person for maintenance. They handle this in addition to some other responsibilities.
What was our ROI?
I can't give an ROI measured in dollars, but we see qualitative benefits. You gain the confidence of our customers because they know their data is secure and only accessible to those with authorization. Data quality is improving. We are gaining our customers' confidence, and they rely on us for data classification.
What's my experience with pricing, setup cost, and licensing?
EDC comes with an Enterprise Licensing Agreement, whereas Axon is a yearly subscription. That is an expensive affair. I don't know the exact cost because the asset management team handles that. We only tell them how many licenses to get. The administrator who manages the platform distributes the licenses, and we provide them to data owners who are making policy changes.
Axon is sold separately, and it's subscription-based. Usually, EDC is included in a big data package as an enterprise license. It would be nice if EDC and Axon could be bundled in one enterprise license.
Which other solutions did I evaluate?
Every tool is evolving. New technology platforms and applications are coming out all the time, like Databricks, Scala, IBM Db2, z/OS, etc.
What other advice do I have?
I rate Informatica Axon eight out of 10. It's a leading solution in the data governance segment. If you're looking for a quick and easy implementation, I recommend Informatica EDC and Axon.
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.
Technical Specialist at a tech services company with 10,001+ employees
An easy setup with efficient data synchronization that keeps information updated
Pros and Cons
- "Customer service and technical support are excellent."
- "In terms of data volume processing, Intelligent Cloud Services does not match the efficiency of Power Center."
What is our primary use case?
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.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been working with Intelligent Cloud Services for around three years.
What do I think about the stability of the solution?
Stability is quite good. I've faced no significant difficulties or downtime issues. The services were always available for my projects.
What do I think about the scalability of the solution?
I rate the scalability of Intelligent Cloud Services as quite high. On a scale from one to ten, I would rate it as nine.
How are customer service and support?
Customer service and technical support are excellent. Whenever I raised tickets, I received solutions promptly. I would rate them ten out of ten.
How would you rate customer service and support?
Positive
How was the initial setup?
The setup is very simple. The administration is not involved with Intelligent Cloud Services. Informatica handles the setup since it's hosted by them.
What's my experience with pricing, setup cost, and licensing?
Pricing is moderate. I do not recall the exact numbers for the license cost at the moment.
What other advice do I have?
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.
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
Member at a tech consulting company with 51-200 employees
Provides businesses with a 360-degree holistic view of their data
Pros and Cons
- "It is a highly scalable solution."
- "If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
What is our primary use case?
I use the solution in my company and have worked with two tools from Informatica, both on on-premises and cloud models. I have experience with Informatica Axon, and I have used the cloud services under Informatica CDGC.
The use case of the tool is basically in the banking sector. It is used to optimize certain areas of a project. In Europe, we have a GDPR implementation. In the Middle East, there is the Central Bank of the UAE and UAE data protection law. Implementing data protection laws and ensuring that all the policies are enforced for financial security is my use case. I have to make sure the bank or financial institution meets the requirements of the Central Bank of the UAE. Data quality is another use case where my company handles corporate and retail customer data, and protecting their information is known as PII. The tool ensures that the system holds the PII data properly.
What is most valuable?
For data lineage, we look for things at a transformation level and how the data is transforming and managing the ETL mapping. Every tool gives this information about how the data goes, but our company is interested in knowing how the data is transforming and the transformation logic between the two data sources.
What needs improvement?
There are some tool limitations. Some connectors do not scan the metadata properly. If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool. To manage such areas, one needs to have a lot of coding knowledge, and you need to know how to apply the code, and only then can you get it fixed. There is no user-friendly enterprise.
There are certain shortcomings even if we opt for subscription-based technical support.
For how long have I used the solution?
I have been using Informatica Axon for four years. I work as a consultant.
What do I think about the stability of the solution?
It is a stable solution. Once it is implemented, we will handle everything for the business. Stability-wise, I rate the solution an eight out of ten.
What do I think about the scalability of the solution?
It is a highly scalable solution. Scalability-wise, I rate the solution an eight out of ten.
The tool is meant for enterprise-sized businesses.
How are customer service and support?
I rate the technical support a six out of ten.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
I have experience with Informatica Data Governance.
How was the initial setup?
If one is difficult and ten is easy, I rate the product's initial setup phase an eight out of ten.
The solution is deployed on the cloud, specifically if you have cloud-based virtual machines. If there are compliance issues, and you need to hold the metadata only on-premises models, you can do that, too.
The solution can be deployed in a few days.
What's my experience with pricing, setup cost, and licensing?
It is an expensive solution. I would say it is the most expensive solution in the market.
For the features of the software, the price is justifiable.
What other advice do I have?
Speaking about how the tool enhances data governance tasks, I would say that we have three types of users, consisting of the consumer, who are normally a business user, then we have a developer and finally the admin. Our company onboards the user, and then the user can collaborate, comment, ask questions, give ratings to their assets, publish the data to the marketplace and go for downloads.
One needs to resolve the problem that stems from the fact that different people can have different understandings of the concepts associated with the tool. A database administrator may see an area as a table, but for a business, it may be a person. The tool gives you a common understanding of the business concept. The tool also provides lineage data and how the business data is performing. It provides an interface between organizational policies, the different processes governed by a certain policy, and the different systems governed by which policy. The tool gives you a 360-degree holistic view of the data.
The cloud version of Informatica Axon utilized the AI for the classification purposes, data domain and automatic data tagging. In my company, we use the tool's AI capabilities.
I will recommend the tool to others.
I rate the tool 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
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Updated: January 2026
Product Categories
Data Management Platforms (DMP) Cloud Master Data Management (MDM) AI Data Analysis Data Observability Product Information Management (PIM) Test Data Management Services Integration Platform as a Service (iPaaS) Metadata Management Data Masking Data Integration Test Data Management Data Governance Cloud Data Integration API Management Business-to-Business Middleware Business Process Management (BPM) Data QualityPopular Comparisons
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