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.
Buyer's Guide
Informatica Intelligent Data Management Cloud (IDMC)
April 2025

Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: April 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

Data Analyst at Tenaga Nasional Berhad
Valuable data flow features and good technical support services
Pros and Cons
- "The product's most valuable feature is the ability to select the data flow and lineage."
- "Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability."
What is our primary use case?
We use the product to store data. We have established a structured system where we store all relevant information, including donor details, images, and series, ensuring easy accessibility for users.
What is most valuable?
The product's most valuable feature is the ability to select the data flow and lineage.
What needs improvement?
Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability.
For how long have I used the solution?
We have been using Informatica Axon for more than one year.
What do I think about the stability of the solution?
I rate the platform's stability as seven out of ten.
What do I think about the scalability of the solution?
We have around 400 Informatica Axon users in our organization. I rate the scalability a nine out of ten.
How are customer service and support?
The technical support services at the moment are impeccable. The support team has answers for everything. They have maintained this level of quality as we progress. There aren't many issues currently, although we're awaiting the migration to the cloud.
How would you rate customer service and support?
Positive
How was the initial setup?
The implementation process could be simplified.
What's my experience with pricing, setup cost, and licensing?
The platform has a premium cost. I rate the pricing as seven out of ten.
What other advice do I have?
The product needs to be adequately supported in the current setup. I advise others to conduct a proof of concept (POC) and assess how it progresses. The learning curve can be steep, but with sufficient time investment, they can also impart knowledge to the users, which is crucial for effective change management.
I recommend it to others and rate it an eight out of ten.
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)
April 2025

Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: April 2025.
861,803 professionals have used our research since 2012.
Data Architect at Three Ireland (Hutchison) - Infrastructure
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: PeerSpot has made contact with the reviewer to validate that the person is a real user. The information in the posting is based upon a vendor-supplied case study, but the reviewer has confirmed the content's accuracy.
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
Member at Nice Software Solutions Pvt. Ltd.
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
Data Governance Engineer at a financial services firm with 5,001-10,000 employees
Offers data lineage feature along with duplicate identification and categorization benefits
Pros and Cons
- "Offers data lineage feature"
- "The UI is extremely complex"
What is our primary use case?
The solution helps with cataloging and obtaining the data lineage. Informatica Enterprise Data Catalog also helps in identifying vital datasets, including the critical data elements and cataloging them. In our company, we have to manage the life cycle of the critical data elements and maintain the business glossary.
The definitions of the critical data elements, their linkage, lineage, as well as the relationships are managed using the solution. Informatica has been in the industry for decades, so they are one of the top SMB partners.
At our company, along with the solution, we also use Informatica Intelligent Cloud Services REST API for app and system integrations in the packaging industry. Of our total portfolio, we integrated applications for about 20%, but we did not have any cloud presence; only a setup application was in the cloud. But for all the on-prem projects, the key components of the customer's product were integrated and governed by using Informatica.
What is most valuable?
Data lineage is a valuable feature when, at our company, we design the physical elements and the logical components and need to identify the relation between them.
The duplicate identification feature for two tickets, synonymous fields, or attributes is another vital aspect of Informatica Enterprise Data Catalog. The categorization of whether data is critical or not in the business glossary is another vital feature of the tool.
What needs improvement?
The product is difficult for an untrained professional to operate. Specialized skills need to be acquired by learning the tool and executing it for data operations. Informatica Enterprise Data Catalog needs to be more user friendly, the UI is extremely complex.
For instance, if I have to view the tool, the first deterrent is that it gets highly technical. Thus, a limited number of professionals can understand the tool processes. Unless you are a data professional, it's very difficult to use Informatica Enterprise Data Catalog. The tool operates with Power BI sometimes.
For how long have I used the solution?
I have been using Informatica Enterprise Data Catalog for eight years.
What do I think about the stability of the solution?
At our company, we haven't faced any downtime or business issues with the solution. The solution allows a limited number of users, so it's easier for the vendor to manage stability.
What do I think about the scalability of the solution?
I believe the solution is scalable and integrates satisfactorily. Our company was successful with scalability because, for the majority of our applications, where the key data was being hosted, we could integrate the apps quite easily with the cloud.
If Informatica Enterprise Data Catalog is being used, scaling the data up or down shouldn't be a problem. The solution's cloud integrations make scalability easier, unlike the on-prem version, which requires implementing complex security protocols.
How are customer service and support?
I would rate the customer support a nine out of ten. The product's support team has been highly responsive while solving the issues faced by our organization.
How would you rate customer service and support?
Positive
How was the initial setup?
At our company, during the product deployment, we had to asses our applications and APIs that would be connected, whether they were available out of the box or not. But the capabilities of customer connections are available with similar tools.
Informatica Enterprise Data Catalog offers custom connectivity. Therefore, the deployment process has been troublesome for our organization except for the mainframe. But as we kept using the tool we realized the integrations could be smoothly completed. At our company, we implement the product if customers are convinced to integrate the tool and make it their central, single source of data management for integrators and technicians.
The deployment of the solution took more than a year in our organization, which included upgrades, contract renewals, and demonstrations similar to IDMC, provided by the same vendor. For deploying the on-prem version of Informatica Enterprise Data Catalog, a team of five engineers was needed in our company to manage the whole deployment and support process.
A couple of business analysts are needed to gather the users' requirements. Our organization has about ten members who provide on-call support on Informatica for its customers, comprising developers, business analysts, and testers.
What was our ROI?
In our organization, we were able to derive about 70% of the critical data lineage.
What's my experience with pricing, setup cost, and licensing?
It's a costly solution. I would rate the pricing of Informatica Enterprise Data Catalog as six out of ten.
What other advice do I have?
The automated data lineage feature utilization depends upon the integration, which is why, in our organization, we had all our key applications integrated that derived automated lineages. But there were unknown applications as well, which, due to the lack of integrations, needed to be manually plugged in.
The mainframe integration with Informatica Enterprise Data Catalog is highly complex. At our organization, due to the aforementioned complexity, we had to import all the data of the mainframe into Informatica. If you are able to integrate the tool with your core applications and systems, then the data lineage duration is pretty simple and this structure is the same for competitor tools as well.
In our company, we might explore in the near future how Informatica Enterprise Data Catalog can assist with AI capabilities. I would overall rate the solution as eight out of ten. To anyone looking to use Informatica Enterprise Data Catalog, I would say if they are willing to understand the company data, then the professional should gather sufficient technical knowledge about the product or take assistance from an Informatica expert because it's not a straightforward tool.
Disclosure: My company has a business relationship with this vendor other than being a customer. Integrator
Project Control Specialist at MindTree
Secure and easy to use, but the support is not good, and the user interface must be more functionality-aligned
Pros and Cons
- "The solution is easier to use compared to the other solutions."
- "The user interface can be a bit more functionality-aligned."
What is our primary use case?
We use the tool to implement customer, product, and entity masters. We also use TDM to generate synthetic data, but not in real-time scenarios.
What is most valuable?
It's a multi-domain master data management system. The solution is easier to use compared to the other solutions. The security is good. The governance model is good. All the elements that I expect are available in the product.
What needs improvement?
The user interface can be a bit more functionality-aligned.
For how long have I used the solution?
I have been using the solution for the last 15 years.
What do I think about the stability of the solution?
I rate the stability a nine out of ten.
What do I think about the scalability of the solution?
The product is scalable.
How are customer service and support?
The support team does not provide much support.
How would you rate customer service and support?
Negative
How was the initial setup?
The initial setup was okay. I rate the ease of setup a five out of ten. The tool can be deployed in a minimum of eight to ten months. The implementation requires at least a team of five members. Maintenance depends on the customer's requirements. If the customer's requirements keep changing, we need a team to maintain the tool. Otherwise, one or two Informatica developers are sufficient to maintain the product.
What's my experience with pricing, setup cost, and licensing?
The price is comparable.
What other advice do I have?
All the tools have similar capabilities. There is nothing superior in Informatica. I'm a software integrator. I work for an IT company. I'm not the consumer. I will recommend the product to others, but it depends on the customers’ needs.
If an organization needs a good customer master, product master, or partner master, Informatica MDM will be a good choice. The solution has been in the industry for quite a long time. It has all the elements I look for in a master data management system except for customer support. All other things are fine.
Overall, I rate the solution a seven and a half out of ten.
Disclosure: My company has a business relationship with this vendor other than being a customer. Integrator
Technology Director at HCL Technologies
Offers cloud version, good connectivity and data profiling features
Pros and Cons
- "I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform."
- "The customer servive and support could be faster. There is a slow turnaround."
What is our primary use case?
We had proof of concepts where certain test cases were given to improve the functionality of the vendor regarding the supply chain.
So, it was a proof of concept. It was not applied in production.
It was just illustrating the capabilities of the platform, and we were comparing it with other platforms.
How has it helped my organization?
If we use it comprehensively, we can improve the data quality metrics or KPIs.
So use as much data as you process, and have a solid strategy in place. If you don't have a comprehensive approach, then you don't draw any benefits or value from such a complicated platform. So, you have to have the objectives very well set up and be part of your daily activities in order to benefit from such a platform.
What is most valuable?
I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform.
It also has integration with other data governance tools from Infromatic, which is also good.
What needs improvement?
It offers integration with some of the latest data platforms, streaming platforms like Kafka, for example. And the setup of the platform is very challenging.
Regarding the cloud, it is deployed in the private cloud of the vendor, so it poses challenges regarding the security of the data and the confidentiality of the data. There was no offering of a cloud version deployable in the client's tenant where all the data would reside.
For how long have I used the solution?
I used it for a couple of months because it was only demoed for the client.
What do I think about the stability of the solution?
It is a stable product.
What do I think about the scalability of the solution?
How are customer service and support?
The customer servive and support could be faster. There is a slow turnaround.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
We just compared the data profiling features or data quality features between the tools. There was a rich functionality available in the system, but we did not draw any conclusions regarding how it improved or may have improved.
What about the implementation team?
It was set up by the vendor for the demo. To deploy the Informatica Enterprise Data Catalog, you need at least two admins and architects.
What was our ROI?
It enables business processes by providing trusted data that can be integrated into many processes around data.
What's my experience with pricing, setup cost, and licensing?
It's very expensive. It's subscription-based. There are several levels of subscription.
The price is high, but the competitors are even higher and more experienced, like Collibra.
What other advice do I have?
Overall, I would rate the solution a nine out of ten.
I would recommend it due to the consistency of vision and very good integration between different products of Informatica. It offers wide coverage, the widest coverage of technologies from the major players.
Which deployment model are you using for this solution?
Private Cloud
Disclosure: My company does not have a business relationship with this vendor other than being a customer.

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