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reviewer2709987 - PeerSpot reviewer
Senior QA Lead (BI & Dw Practice) at a insurance company with 5,001-10,000 employees
Real User
Top 20
May 22, 2025
Cloud integration supports dynamic project developments
Pros and Cons
  • "Informatica Intelligent Cloud Services allows us to manage the entire data lifecycle in the insurance domain, supporting microservices architecture and leveraging AI and machine learning for data discovery, quality, and integration."
  • "One thing to consider is that while Informatica Intelligent Cloud Services already integrates with AI platforms, we need to use these tools rigorously and check all these aspects, including machine learning and analytics. I feel that more work needs to be done on this aspect."

What is our primary use case?

I work in the insurance industry.

For this build, the cloud offering provides scalability and agility for my current project, which is in the insurance domain for CNA insurance. We do end-to-end data management as well as follow a microservices architecture. Additionally, we are using AI and machine learning for tasks such as data discovery, data quality, and generative AI applications for development purposes.

What is most valuable?

Some of the most valuable features with Informatica Intelligent Cloud Services include master data management, API management, data governance, data quality, and cloud application integration. We can utilize both ETL and ELT capabilities and have the ability to integrate data with different data lakes, even integrating with Snowflake.

The cloud-native platform provides scalability and agility for my current project. Informatica Intelligent Cloud Services allows us to manage the entire data lifecycle in the insurance domain, supporting microservices architecture and leveraging AI and machine learning for data discovery, quality, and integration.

What needs improvement?

I still have to look into potential improvements, but what I have currently provided input on is what I'm using. I still need to work on it and check for any potential improvements.

One thing to consider is that while Informatica Intelligent Cloud Services already integrates with AI platforms, we need to use these tools rigorously and check all these aspects, including machine learning and analytics. I feel that more work needs to be done on this aspect.

For how long have I used the solution?

I have almost three years of experience.

Buyer's Guide
Informatica Intelligent Data Management Cloud (IDMC)
July 2026
Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: July 2026.
904,680 professionals have used our research since 2012.

What was my experience with deployment of the solution?

Product deployment generally takes place as we have an integrated version with various applications, and while we don't deploy daily, we follow a CI/CD pipeline closely for performance.

Different organizations may have different practices; some might have a release plan, but for my project, we manage deployments every one to two days without experiencing significant delays or issues, so I consider it user-friendly.

What do I think about the stability of the solution?

The solution is stable as of now.

What do I think about the scalability of the solution?

It is scalable. The solution has good scalability and powerful capabilities.

How was the initial setup?

The initial setup for Informatica Intelligent Cloud Services is straightforward for me because I'm not facing any issues with this.

I am part of the initial setup and deployment.

What about the implementation team?

For the deployment team, we have a production development team that isn't just one person; it's a combination of almost eight or nine teams working together. Depending on the team's requirements, they handle deployments at different times, so around ten people are involved.

Which other solutions did I evaluate?

The reviewer needed more time to provide information about differences with other integration platforms.

What other advice do I have?

I have experience with Informatica solutions, specifically with Informatica Intelligent Cloud Services. This is for my project basis, as IICS is the cloud-native solution they supply us for this purpose. I focus on ETL, ELT, reusable integration artifacts, and cloud data integration, including Snowflake. Everything is there, including scalability and performance, which are also good.

On a scale of 1-10, I rate Informatica Intelligent Cloud Services a 9 out of 10.

Disclosure: My company does not have a business relationship with this vendor other than being a customer.
PeerSpot user
reviewer946383 - PeerSpot reviewer
consultant at a energy/utilities company with 5,001-10,000 employees
Consultant
Top 10
Mar 27, 2025
Significant room for improvement exists in stability and patch management, while data quality enhancement remains positive
Pros and Cons
  • "The quality of the data improves with Informatica Cloud Data Quality."
  • "Informatica Cloud Data Quality has significant room for improvement. It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable."

What is our primary use case?

We use Informatica Cloud Data Quality in a medium business environment.

What is most valuable?

The quality of the data improves with Informatica Cloud Data Quality. There is an address cleansing feature called AddressDoctor that cleanses and enhances the quality of the data. Additionally, several algorithms are available for use, such as correcting typo mistakes in the data, whether in alphanumeric, upper case, or lower case forms.

What needs improvement?

Informatica Cloud Data Quality has significant room for improvement. It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable. There are problems with upgrades and patches that do not make sense and can negatively impact the existing code.

What do I think about the stability of the solution?

There are substantial stability issues with Informatica Cloud Data Quality on the cloud. The on-premise version was very stable, but on the cloud, the product experiences many issues with patches and upgrades disrupting functionality.

What do I think about the scalability of the solution?

On a scale, scalability with this product would be rated as five or six out of ten.

How are customer service and support?

I deal with technical support daily. The support is not very good; each ticket starts from scratch as there is no continuity between personnel handling the same ticket.

How would you rate customer service and support?

Neutral

Which solution did I use previously and why did I switch?

From my experience, I have always used Informatica. I transitioned from the on-premise to the cloud version of the product.

What was our ROI?

Connecting to the cloud allows access to many connectors, which is a positive. However, the stability and performance remain issues. In terms of scalability and cloud connectivity, it is number one.

What's my experience with pricing, setup cost, and licensing?

I am not involved in the pricing details. It appears to use a model based on usage, such as how many rows are processed.

What other advice do I have?

I would rate the solution overall as five to six on the cloud. I would prefer my review to remain anonymous due to my H-1B status. The overall solution is rated as five to six out of 10.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Other
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
PeerSpot user
Buyer's Guide
Informatica Intelligent Data Management Cloud (IDMC)
July 2026
Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: July 2026.
904,680 professionals have used our research since 2012.
Saikat Ghosh - PeerSpot reviewer
Consulting Principal & Founder at Digital Data Consultancy
Real User
Top 5Leaderboard
Feb 4, 2025
Match and merge functionality is still the best but cloud version needs more functionality
Pros and Cons
  • "The match and merge functionality is invaluable for discovering golden master data records."
  • "I have rated the stability a ten out of ten due to a high level of satisfaction."
  • "There are various areas for improvement in IDMC. Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."

What is our primary use case?

I have used Informatica Intelligent Data Management Cloud (IDMC) for customer data management and analytical product master data management solutions. The first use case involved finding unique customer references with match and merge functionality. The second use case was creating a master data repository for products for use in the analytical layer.

What is most valuable?

The match and merge functionality is invaluable for discovering golden master data records. Additionally, the integrated data transport and master data creation capabilities are significant. The platform's ability to pull in and push out data from other platforms without the need for an additional integration tool enhances its appeal. The availability of data quality tools within the platform is another bonus. The presence data governance tools for meta data management adds to the benefits. 

What needs improvement?

There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM

The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.

For how long have I used the solution?

I have been using IDMC for the last three years across two projects

What do I think about the stability of the solution?

Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users. 

I have rated the stability a ten out of ten due to a high level of satisfaction.

What do I think about the scalability of the solution?

As a SaaS platform, IDMC is quite scalable and provides complete flexibility. Users can increase data capacity on demand based on licenses, which facilitates easy and fast scaling.

How are customer service and support?

The customer support team is good at response and issue resolution. However, due to the tool's maturity limitations, solutions are not always simple and often require workarounds, indicating a need for further improvement.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

The Informatica on Prem MDM product suite is very mature as a tool and still a very good option. 

How was the initial setup?

I rated the initial setup of IDMC as a six out of ten. Many tools within IDMC are new, and those familiar with on-premises versions find the features limiting. This necessitates assistance from the Informatica support team and architects for ensuring quality of implementation. 

What's my experience with pricing, setup cost, and licensing?

The pricing is high and is based on the number of master data entities managed within the platform including refrence data entities. It can range from a quarter million to a couple of million a year. IDMC is often described as the 'Ferrari of Master Data Solutions,' implying that while expensive, it is still the best as a business-critical platform and, therefore, justified.

What other advice do I have?

As an integrated enterprise solution, IDMC is quite good, however, the platform needs to mature in the capabilities it currently provides. 

Overall, I rate Informatica IDMC a seven out of ten.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Disclosure: My company has a business relationship with this vendor other than being a customer. partner
PeerSpot user
PraveenChatla - PeerSpot reviewer
Head Of Information at Ericsson
Real User
Top 5Leaderboard
May 21, 2025
Data governance features improve data quality but observability and cost need enhancements
Pros and Cons
  • "I definitely would recommend the Informatica solution to other people."
  • "In terms of cost effectiveness, Informatica Intelligent Data Management Cloud (IDMC) is more than 20% costly compared to the industry."

What is our primary use case?

The typical use case of Informatica Intelligent Data Management Cloud (IDMC) is governance activities for data quality and data cataloging. I need to look at the request type from whom I am getting to provide the details.

What is most valuable?

The most helpful features in Informatica Intelligent Data Management Cloud (IDMC) are data cataloging and the data marketplace.

In terms of data quality management, Informatica Intelligent Data Management Cloud (IDMC) helps with data governance overall.

What needs improvement?

There are some improvements needed in Informatica Intelligent Data Management Cloud (IDMC), especially from a user experience point of view over the last year. They are improving, and there is still scope for enhancement.

The observability concept in Informatica Intelligent Data Management Cloud (IDMC) needs improvement as the capabilities are not up to the mark compared to the industry.

In terms of cost effectiveness, Informatica Intelligent Data Management Cloud (IDMC) is more than 20% costly compared to the industry.

Regarding AI features in Informatica Intelligent Data Management Cloud (IDMC), there is always improvement and clarity present, but compared to the competitors, they are still lacking. The AI features are helpful, but when compared to its competitors, they need enhancement.

For how long have I used the solution?

I have been working with Informatica Intelligent Data Management Cloud (IDMC) for five and a half years.

What was my experience with deployment of the solution?

The deployment of Informatica Intelligent Data Management Cloud (IDMC) is user-friendly, but if the software is available, it takes some time.

How are customer service and support?

I have contacted the Informatica technical support team, and they have good technical support, but there is always room for improvements. My experience with Informatica technical support overall rates around three, which is above medium, but not extraordinary.

How would you rate customer service and support?

Neutral

How was the initial setup?

Informatica Intelligent Data Management Cloud (IDMC) takes about a couple of days to configure, depending on the services.

Which other solutions did I evaluate?

I am aware of its competitors, and I will provide the details once I know them more thoroughly.

What other advice do I have?

I definitely would recommend the Informatica solution to other people.

I am satisfied with Informatica Intelligent Data Management Cloud (IDMC), even if it might be lacking in some areas. The expectations will be somewhere, and the tool can support somewhere, with opportunities to improve, considering the features they are building and their strengths.

I would rate Informatica Intelligent Data Management Cloud (IDMC) at around seven.

Disclosure: My company does not have a business relationship with this vendor other than being a customer.
PeerSpot user
Data Integration Architect at Endeavour Foundation
Real User
Top 10
Mar 25, 2025
Connectors streamline data processes and optimize cloud-based operations
Pros and Cons
  • "The most valuable feature of Informatica Intelligent Cloud Services for me is the availability of connectors."
  • "The tool is quite good overall, but sometimes the number of modules can be overwhelming. If the development interface could be optimized to have fewer modules, it would be greatly beneficial."

What is our primary use case?

I use Informatica Intelligent Cloud Services predominantly for data integration. I utilize it for building data pipelines, which is a critical aspect of my job.

What is most valuable?

The most valuable feature of Informatica Intelligent Cloud Services for me is the availability of connectors. A connector is a piece of software that allows access to specific solutions such as D365, Snowflake, and various databases. The connectors serve as the main functionality, making data integration processes more efficient by saving time and effort that would otherwise be spent accessing data via other methods like APIs.

What needs improvement?

The tool is quite good overall, but sometimes the number of modules can be overwhelming. If the development interface could be optimized to have fewer modules, it would be greatly beneficial.

For how long have I used the solution?

I have been using Informatica Intelligent Cloud Services for a year. Before that, I operated in a different environment, and I am now fully in the cloud.

What do I think about the stability of the solution?

I would rate the stability of Informatica Intelligent Cloud Services as seven or eight. At the moment, everything seems fine and I don't have any issues with its stability.

What do I think about the scalability of the solution?

I rate the scalability of Informatica Intelligent Cloud Services as eight. There are many options available, and the licensing model is quite good, supporting our needs effectively. It's quite important to maintain its current licensing model.

How are customer service and support?

The customer service and support for Informatica Intelligent Cloud Services is rated as eight. My impression of their support is positive, and everything is functioning well.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

Previously, my solution was not cloud-based and was hosted in our data center. However, I've now transitioned to a cloud-based approach with Informatica Intelligent Cloud Services due to its suitable licensing model.

How was the initial setup?

For me, the initial setup was very easy because Informatica primarily manages that. I am not responsible for setting up anything since it is provided as Software-as-a-Service.

What about the implementation team?

The developers maintain their own pipelines, job schedules, and so on. I don't require dedicated people solely for maintenance.

What was our ROI?

I haven't observed a return on investment in hard figures yet, but Informatica Intelligent Cloud Services does save me a significant amount of time.

What's my experience with pricing, setup cost, and licensing?

Informatica Intelligent Cloud Services is affordable for my specific use cases, with the pricing being rated three or four on a scale where one is very cheap. The affordability may vary based on how much data is manipulated.

Which other solutions did I evaluate?

I evaluated a couple of options before selecting Informatica Intelligent Cloud Services. The most suitable licensing model was the deciding factor in my choice.

What other advice do I have?

The overall solution is rated as eight. I plan to continue using Informatica Intelligent Cloud Services for data integration whenever required.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Other
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
PeerSpot user
Senior consultant at a tech vendor with 10,001+ employees
Real User
Top 20
Jul 9, 2025
Finding data quality tools straightforward but features on different platforms could align better
Pros and Cons
  • "I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."
  • "I remember when I used it, there was some limitation in one of the data quality dimensions. I was not able to perform certain tasks on the cloud version, even though I could do them on the data center version."

What is our primary use case?

I worked on a project where we had to use these tools to execute the data quality requirements from assessment perspectives to scorecards and similar tasks.

I haven't used any other tools, so I cannot really compare. However, anything that was related to data quality from an implementation perspective was available.

I haven't used it extensively, but it has its own use cases and could be potentially useful depending on the context. The main work I did was benchmarking the data sets that were available at the time to complete the seven dimensions of data quality.

What is most valuable?

I have used Informatica Cloud Data Quality and PowerCenter for a bit, though I worked on the data quality tool mostly.

I tried both versions, the one on the data center and the one on IDMC, which is the Informatica Cloud.

Regarding infrastructure setup, I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward. I don't recall having significant issues. The challenges were mainly related to firewalls, security rules, and allowing network connectivity.

What needs improvement?

I think it would be very useful to have the same features on the data center version available on the cloud version. I remember when I used it, there was some limitation in one of the data quality dimensions. I was not able to perform certain tasks on the cloud version, even though I could do them on the data center version.

When a customer moves from data center to cloud or a SaaS implementation on another platform provider, they shouldn't experience reduced functionality. It should be enhanced.

For how long have I used the solution?

I used the solution for approximately four to five months.

What was my experience with deployment of the solution?

We had a unique setup at the time that didn't function optimally, so certain tasks had to be done manually to some extent.

What do I think about the stability of the solution?

The solution is stable. However, the data center version currently appears more stable than the cloud version in terms of feature usage and overall smoothness.

What do I think about the scalability of the solution?

Informatica Cloud Data Quality is a scalable solution.

How are customer service and support?

The customer service team was great. They were very proactive with us.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

We were presented with Informatica Cloud Data Quality immediately when we started. There weren't any other options at that time.

What about the implementation team?

As a technology consultant, I worked for the client who had Informatica Cloud Data Quality already set up for us to use.

What other advice do I have?

I would prefer to remain anonymous as including my name could cause some issues.

Though I'm not a data engineer by profession, it was really easy to navigate the tool.

I would rate this solution 8.5 out of 10.

Which deployment model are you using for this solution?

Google

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Google
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
PeerSpot user
Murali B - PeerSpot reviewer
Associate Manager at a consultancy with 10,001+ employees
Real User
Top 5Leaderboard
Jul 24, 2024
Suitable to meet the needs of mid-sized and large-sized businesses
Pros and Cons
  • "The solution's technical support is pretty good, especially since the turnaround time is good."
  • "Metadata querying is right now not there in Informatica Cloud Data Integration."

What is our primary use case?

I use the solution for financial institutions, where we push our data into the warehouses and analytics platforms. We query the Kafka messaging services and see whatever message we get. We used to take the API responses and load them into different target systems, some cloud-based and some on-prem. For some security reasons, we used to push the data to the on-prem and then the cloud versions.

What needs improvement?

In Informatica, we can export the metadata in XML format, and then we can see what all are available. Metadata querying is right now not there in Informatica Cloud Data Integration. Informatica Cloud Data Integration needs to make metadata querying available in the tool, and Informatica needs to put more reports to get the lineage details and then the source system, if at all there is a need for us to identify them. It is an area where we face big challenges. I started using Informatica Cloud Data Integration recently.

For how long have I used the solution?

I have been using Informatica Cloud Data Integration for two years.

How are customer service and support?

The solution's technical support is pretty good, especially since the turnaround time is good. When we raise tickets with the tech support team, we get support within the shortest span. I rate the technical support an eight out of ten.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

I have used IBM Cloud Paks and Informatica Cloud Data Integration. Sometimes, we have to go with our client's perspective, especially if they have pre-existing licenses and get any discounts. My company has suggested IBM Cloud Paks, but with the existing things that our clients work on in Informatica, sometimes they prefer the same vendor. We did PoCs for both IBM Cloud Informatica Cloud Data Integration to help clients figure out the overall run time cost and then the number of credits that they are after, based on which they have opted for Informatica.

I have previously worked with IBM Cloud Paks and Snowflake, and both of them were client-specific tools for which we had to choose. If some tool was already in place, then it has already been paid for as a part of the procurement process, so we should continue with it. If it is a new proposal, then we have to go for it and list out to our customers all the things that we have in our pocket, and where we can take care of all the accesses, billing per hour for users, number of hours, and all such related details. After that, we suggest to our customers to take a call depending upon the amount of budget that needs to be allocated for the technical stuff.

For the last few months, I have been working only on Informatica Cloud Data Integration. Some people are interested in the Azure Databricks for their pipelines. Some of the partners who are providing tools to customers are also interested in Azure Databricks.

Which other solutions did I evaluate?

Instead of Informatica, I recommend IBM products to others, especially if someone already has other products from IBM's family or has purchased some information catalog. My company suggests that such customers go with IBM Cloud Paks since it allows you to lift and shift some of the existing jobs or processes to the IBM Cloud Catalog. If somebody wants to go for a cross-platform, then there was a time when my company used to suggest they go for Azure Databricks. It all depends on the existing infrastructure and a user's broader plan. Based on it, we used to suggest tools to customers. My company also used to look at what our customers were using and what their target was.

What other advice do I have?

When it comes to the impact of the mapping and transformation features on data integration processes, Informatica has an existing license system where we directly map it to the existing cloud and then run it over the cloud. Any new development activities that we are doing are done directly on the cloud. Informatica has provided this migration tool for lift and shift purposes. With the tool, almost 80 to 90 percent of things are directly convertible from on-prem to cloud services, but through reports, we figured out that 10 percent can't be done, so we have to redo such areas in the cloud.

Speaking about the ease of use and learning curve of Informatica, I would say that my total experience is close to thirteen years with ETL tools. I have worked on multiple ETL tools on different clouds. I don't see much difference between IBM Cloud Paks and Informatica Cloud Data Integration. For me, these are more or less similar tools, with just a change in cosmetics.

Speaking about Informatica Cloud Data Integration's performance and scalability and how it meets our company's project needs, I would say that we have to buy CPU units. Initially, we had some 10,000 CPU units, and with that, we knew how many credits there were. Most of our systems are in production, so only with the peak loads, our threshold is not going beyond 60 to 70 percent of utilization.

Informatica Cloud Data Integration is associated with a bigger integration part where we have around 200 mappings and it works well. I don't see many issues in the tool except in the area of metadata querying. If I want to figure out a particular column of the table that is impacting the number of mappings, previously, we used to go for query, or we used to query in XML format. Currently, we have to call the APIs, but the information that we are after is not that precise.

Informatica Cloud Data Integration can be integrated with Salesforce. We can also have some other API integrations. If you have any specific systems, then considering whatever ERPs or legacy systems we have used with the tool, we don't see many issues.

I would recommend the tool to others. I would recommend the product to mid-sized companies. At the end of the day, everything is about the number of CPUs or the units that are needed to run it. Everything depends on the number of mappings of the growth prospect of the ETL pipelines that one is going to build. If it is mid-level and companies are above the mid-level zone, Informatica and IBM Cloud Paks are preferable to the other tools.

I rate the tool a seven and a half to eight out of ten.

Disclosure: My company does not have a business relationship with this vendor other than being a customer.
PeerSpot user
Director of product management at a manufacturing company with 10,001+ employees
Real User
Jul 1, 2024
Automated a lot of manual processes, improved visibility into data processes but user interface could be more intuitive
Pros and Cons
  • "The governance process was fully manual before, but Axon helped us configure those processes, giving us more visibility, transparency, and control over the data."
  • "I would rate my experience with the initial setup a two out of ten, with one being difficult and ten being easy."

What is our primary use case?

We use Informatica Axon primarily to manage product attributes with different roles and responsibilities across various business units. This involves complex approval processes and workflows tailored to each business unit. We have four to five business units. 

Additionally, we perform data quality checks to make sure everything goes through proper authorization and adherence to compliance guidelines. 

Different teams, including our compliance group and business unit-specific groups, so there are some parallel workflows and nested workflows within Informatica Axon. The platform also enables report generation, email alerts, and other functionalities.

We have a small vendor team with expertise in Informatica, but the majority of the involvement (80%) is directly from the client, with only 20% vendor participation.

How has it helped my organization?

Informatica Axon has significantly improved our manual processes.

For example, if you needed to onboard a product or a particular customer, we were initially using just an Excel sheet. The exchange of Excel sheets happened via SharePoint or through emails, and then it needed approval. There are different stakeholders across regions, and we are a multi-channel company.

For example, we have teams in Brazil, Mexico, Taiwan, Japan, and the US, across different regions, as well as Canada and Asia Pacific. Each business unit has different roles and responsibilities. When managing a certain set of attributes, you have to properly follow the governance process. All the governance processes were in email, SharePoint, or document before we implemented Axon.

But now, we can create forms and define that governance process, including rules and responsibilities. Many things are automated, showing how the workflow cycle goes, where it goes, and who's working on what. From a data transparency standpoint, we know what is what, where it is coming from, and what the next action is. Some quality rules we implemented automatically control who is accessing the information.

The governance process was fully manual before, but Axon helped us configure those processes, giving us more visibility, transparency, and control over the data. We don't fully use it for every business unit yet, so we are going phase by phase. So far, we have implemented it for three business units, each with different rules, regulations, and compliance requirements. We were able to accommodate all these principles.

Everyone who uses the tool likes it so far, which is a success. As we move other business units, we'll be utilizing more of its capabilities. This major win reduced the time required for manual tasks, follow-ups, and errors. It has made the process quicker and less error-prone, which is a visible benefit from the tool.

Data Integrity Challenges:

We use various Informatica products, including those for integrations and data warehousing. So, maintaining data integrity within Informatica Axon itself is not a significant challenge.

The primary challenge lies in getting everyone on board with the governance process. We have not yet fully migrated all of our organization's internal processes and interactions to Axon. We are going module by module, which sometimes requires compromising on data elements shared across different streams that haven't yet been incorporated into the governance process because governance and quality come hand in hand.

This is a gap in our internal processes and not a shortcoming of the tool itself. Governance and quality are intertwined, and while Axon assists with governance, we need to establish data quality measures beforehand. We lack some data quality elements and are actively working on improving this by cleaning up, deduplicating, and standardizing data across the organization.

What is most valuable?

The most valuable features of Informatica Axon are the reports and statistics. It provides very good insights into pending tasks, completed tasks, and areas requiring follow-up or approval. There are various checkpoints. In one report, we can see the overall status of the system. 

Additionally, Informatica Axon has many out-of-the-box features when we want to configure stuff for workflows, surpassing those of other tools we evaluated, like Collibra. But Informatica is a very established tool that offers a lot of pre-configurations when we govern the workflows. So, these out-of-the-box features are much more robust, and reporting is much more robust compared to other tools.

Data Lineage Feature:

Data lineage is there. But not everyone is into it. We have a lot of legacy applications, and consolidation of the data into our master data management is also a parallel project going on. Right now, Informatica Axon has a fantastic lineage feature, but we do not fully use that capability in our team because there are a lot of prerequisites that we need to set before we can utilize the lineage.

There are very small components where we can see some lineage. For example, if you have product dimensions or dimension-related attributes, we can see how the data lineage is going through. But for other activities, our data is distributed across different platforms and involves about 43 to 50 legacy systems. First, we are in the process of consolidating them into one hub and then do some cleanup. That would be the biggest feature for us to start with this data lineage. Right now, we don't use that capability extensively.

What needs improvement?

The user interface could be more intuitive. Currently, it's not very user-friendly, and users need to be thoroughly trained to use the tool effectively.

Additionally, more integration features, like third-party plugins for address search and other functionalities, would be helpful for users across different geographies. While some integrations exist in other Informatica products, they are not available in Axon.

Search enhancements would also be beneficial.

For how long have I used the solution?

I have been using Informatica Axon for a couple of years.

What do I think about the stability of the solution?

I would rate the stability a six out of ten because there are no critical issues stopping their jobs. It's almost stable for whatever we have done. Some issues come up, and we fix them, but overall, I'll rate it six out of ten.

What do I think about the scalability of the solution?

In our current use cases, we don't see any big challenges with Informatica Axon's performance. But when the volumes increase or we gradually onboard more users, we want to check the performance. 

For the past couple of years, we have onboard one by one and haven't faced any performance problems. But, there are some clients and case studies where they faced performance problems when multiple processes were running simultaneously. This is something we keep in mind as we onboard other business units.

I would rate the scalability six out of ten for now because we need to explore more. Other business units should also come and see how scalable it is, but for now, it's six out of ten.

There are multiple units. We have around 50 to 60 business units, and currently, only three of them are using it. It is used everyday in our organisation. 

How are customer service and support?

The customer service and support were with us. It's more about fitting our data structure to Axon rather than the product's capability. 

We had to do a lot of design work and make adjustments to incorporate everything. Informatica really helped with the initial setup, but it also depends on the contract. 

We only had normal support without an Informatica consultant onboarded due to budget issues. Everything was done through tickets and our own efforts. Maybe that's another reason we struggled.

Support helped around seven out of ten. But it's beyond their contract. Support can only do certain things. For services, you need to hire an Informatica consultant. Our team wasn't ready to hire one due to budget issues. So that's the reason we faced challenges. But as far as support is concerned, they were decent.

How would you rate customer service and support?

Neutral

Which solution did I use previously and why did I switch?

We didn't use another solution. Everything was manual. Informatica Axon is the one we chose. There were some other bidding processes, but I was not involved in the selection process.

How was the initial setup?

I would rate my experience with the initial setup a two out of ten, with one being difficult and ten being easy. 

Initially, we didn't have the expertise for the tool from the client's end. We had to depend on Informatica for that. There were some initial infrastructure issues. When we got the proposal and started implementing it, there were new findings that we had to fit according to our environment. 

Maybe it's because we weren't well-prepared for expectations. For example, if you want to set up and get started in a week or two, it took us two months for the initial setup and to migrate the data. We faced a lot of technical challenges.

Things didn't fit in properly, so we needed to make adjustments. But, again, it's our personal experience with our client. It might not be a common issue for others, but the initial setup was difficult, and we struggled a lot, so I would rate it as two out of ten.

But after that, it's all good. Once we set it up and started configuring things, everything was more in control, and we didn't face any problems. But the first-time setup was definitely a challenge.

It took us two months to deploy the solution. The most time-consuming part was the data structure and migration.

What about the implementation team?

For us, we took two resources for the deployment process because only two were available at the time. But it depends on each project. We had two resources fully dedicated to this work.

One of them was a normal Informatica expert developer, and the other was a business analyst who was also a data modeler.

What was our ROI?

I would estimate a minimum guarantee of about 60% return on investment. We are yet to explore a lot of features, like data lineage and migration of business units. But if we migrate everything into it, we can expect a 50% to 60% return on investment, for sure.

What's my experience with pricing, setup cost, and licensing?

For licensing, all I know is the number of users matters. It's not about the volume of data; it's more about the number of users. If more users are added, there's an additional cost. 

We only use out-of-the-box features and haven't asked for any customization, so we haven't incurred additional costs. However, when we migrate all 53 business units, there might be additional costs. As of now, we don't have any extra costs.

What other advice do I have?

I would recommend using it because every tool and technology has its pros and cons. If it fits with your organization, especially if you already have the Informatica suite of products in your architecture, Informatica Axon will fit in very easily. Even if you are on a different stack, it might still work. 

One advantage of Informatica is that they have been in this industry for a long time. They have a strong background in handling data, which is a positive aspect of Informatica Axon. I would definitely recommend it if it meets your standards.

Overall, I would rate it a six out of ten; we have yet to utilize all the features. From the organization's standpoint, it has only helped certain business units so far. Additionally, the user intuitiveness is less, and there are some performance issues here and there. I'm not confident enough to give it a nine out of ten because we haven't fully explored the product yet. It meets expectations but does not exceed them, which is why I rate it a six.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Disclosure: My company does not have a business relationship with this vendor other than being a customer.
PeerSpot user
BI Consultant at a computer software company with 1,001-5,000 employees
Real User
Top 10
May 6, 2025
Search across organizational databases seamlessly and save time
Pros and Cons
  • "The feature that allows me to search across the entire organizational database and then look through what objects are in which tables and which locations is quite handy."

    What is our primary use case?

    We are cataloging datasets across the organization. Cataloging information across all the tables and other files is the major use case.

    What is most valuable?

    The feature that allows me to search across the entire organizational database and then look through what objects are in which tables and which locations is quite handy. Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.

    What needs improvement?

    I haven't really used AI yet, but I would like to use it. I may be in a better position to answer this question once I explore that feature. I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.

    For how long have I used the solution?

    I have been using it for about four years, I guess.

    What was my experience with deployment of the solution?

    My experience with deployment of the solution was pretty straightforward.

    What do I think about the stability of the solution?

    We usually get support from our vendor and Informatica, and so far it's been great.

    How are customer service and support?

    The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually. The response time is pretty good. I can't complain.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    I didn't work with anything similar before.

    How was the initial setup?

    My experience with the initial setup was pretty straightforward.

    What about the implementation team?

    We hired a vendor. They were helpful.

    What was our ROI?

    Unfortunately, I can't really quantify it at this stage, but I can see that there's a lot of time saved.

    What's my experience with pricing, setup cost, and licensing?

    I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.

    What other advice do I have?

    I would rate it 9 out of 10. I really want integration with other Informatica products. For example, we have IICS.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Other
    Disclosure: My company does not have a business relationship with this vendor other than being a customer.
    PeerSpot user
    Samudra Som - PeerSpot reviewer
    Quality Assurance Test Engineer at Concept Software & Services INC
    Real User
    Top 5Leaderboard
    Jul 20, 2024
    Can easily get customer details from tables but requires technical knowledge to handle the product
    Pros and Cons
    • "What I like best about Informatica MDM is its structured, table-based approach. Unlike Reltio, where data is only visible through the UI and cloud-based, the solution allows access to normalized tables. This means I can directly query and see data in each table. For instance, I can easily get all customer details from the customer table. However, for more complex queries, like seeing all customer interactions with the organization, some SQL knowledge is needed to join different tables and retrieve the details."
    • "The tool could be improved in terms of ease of use, particularly for those without technical expertise. Understanding and extracting data from the table-based structure requires some SQL knowledge and technical skills. Additionally, while Informatica MDM has moved towards a cloud-based MDM with a UI similar to Reltio, I haven't used it, so I can't comment on its effectiveness."

    What is most valuable?

    What I like best about Informatica MDM is its structured, table-based approach. Unlike Reltio, where data is only visible through the UI and cloud-based, the solution allows access to normalized tables. This means I can directly query and see data in each table. For instance, I can easily get all customer details from the customer table. However, for more complex queries, like seeing all customer interactions with the organization, some SQL knowledge is needed to join different tables and retrieve the details.

    What needs improvement?

    The tool could be improved in terms of ease of use, particularly for those without technical expertise. Understanding and extracting data from the table-based structure requires some SQL knowledge and technical skills. Additionally, while Informatica MDM has moved towards a cloud-based MDM with a UI similar to Reltio, I haven't used it, so I can't comment on its effectiveness.

    For how long have I used the solution?

    I have been working with the product for six months. 

    What do I think about the stability of the solution?

    I haven't had any issues with the tool's stability. 

    What do I think about the scalability of the solution?

    I'm not entirely sure about scalability, but I've heard that adding custom features can be complicated. We have to go through several steps. First, we need to determine if we're adding a column to an existing Informatica MDM table or creating a new one. Then, we have to contact Informatica with our customization request. They do the customization. After that, we have to check if it's working correctly.

    In our organization, we use Informatica MDM in a specific way. It's primarily based on tables; users don't directly log into it. The process works like this: data flows into the MDM tables as an inbound process. Once the master data merge has been completed, the output data flows out as an outbound process.

    How are customer service and support?

    The tool's support team is good. The product is quite technical, and so is the support team. When we have questions, we reach out to them, and they provide answers. Their response time is also good—we don't have to wait long for replies.

    How would you rate customer service and support?

    Positive

    What other advice do I have?

    I rate the overall product a seven out of ten. If you don't have the budget for Reltio, then you can go for Informatica MDM. 

    Disclosure: My company does not have a business relationship with this vendor other than being a customer.
    PeerSpot user
    Buyer's Guide
    Download our free Informatica Intelligent Data Management Cloud (IDMC) Report and get advice and tips from experienced pros sharing their opinions.
    Updated: July 2026
    Buyer's Guide
    Download our free Informatica Intelligent Data Management Cloud (IDMC) Report and get advice and tips from experienced pros sharing their opinions.