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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

Buyer's Guide
Informatica Intelligent Data Management Cloud (IDMC)
August 2026
Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: August 2026.
908,858 professionals have used our research since 2012.

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.

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
Mehmet SukruKaya - PeerSpot reviewer
Senior Data Analytics Manager at Esan
Real User
Top 20
Jul 21, 2025
Improved data quality significantly enhances project efficiency and effectiveness
Pros and Cons
  • "We had a bad experience before Informatica Cloud Data Quality, we started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model."
  • "If a new solution has the same features and less investment, it would be worth considering."

What is our primary use case?

We use Informatica Cloud Data Quality for data profiling and data quality. We also use the intelligent system of Informatica, lineage, and the data catalog.

We are using Informatica to get the data profiling. For example, if we are planning data analytics or data science projects, we first plan to ingest all the data that we are planning to use in that project into Informatica. Then we check it and get the profile. We also get the catalog of the data, and then we start.

What is most valuable?

The most important benefit of the data quality product is the data quality side. When we started, the data quality level was maybe 17% for that domain. After we ingest the data into the data quality tool, it is more than 70%.

The initial setup takes approximately less than two months for one domain. It can be easier, but it also takes a lot of time on the process side, such as creating the KPIs for data quality. The system is a little bit complicated. It has too many features.

What needs improvement?

The license or pricing is an area of the cloud data quality solution that I would like to see improved or enhanced somehow.

For our plan, Informatica Cloud Data Quality is now a fit. If asking about other features that would be nice to have, the AI side can be more powerful.

If a new solution has the same features and less investment, it would be worth considering.

For how long have I used the solution?

I have been working with Informatica Cloud Data Quality for approximately one year.

How are customer service and support?

I would evaluate Informatica's technical support as good. It's more than enough.

How would you rate customer service and support?

Positive

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

I evaluated SAP also. Microsoft does not have a strict solution. They now have Purview, but we could not evaluate it as they didn't have a solution for the last year. We evaluated Informatica, SAP, and Erwin. We can reach the support easily in Turkey. The solution centers are good.

How was the initial setup?

For one domain, the initial setup takes approximately less than two months.

What other advice do I have?

I am not utilizing the data quality rules management part yet.

We had a bad experience before Informatica Cloud Data Quality. We started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model. If we have an application like Informatica Cloud Data Quality or a data quality platform, we can finish the project in less than three months.

This is the on-prem data that we ingested. We don't use any cloud data that we have. For now, we are just using the on-prem data, and we don't have any integration from the data outside of the on-prem.

I would recommend it to other users. On a scale of 1-10, I rate this solution a 9.

Which deployment model are you using for this solution?

On-premises

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)
August 2026
Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: August 2026.
908,858 professionals have used our research since 2012.
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
Data Quality Consultant at Zentic
Consultant
Top 20
Jul 22, 2025
Offers powerful features but needs pricing and setup improvements
Pros and Cons
  • "Regarding the features, the dashboards related to data quality profiling are the most powerful tool that we are using, and the integration between EDC and the data quality is very important."
  • "I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high."

What is our primary use case?

We are using Oracle, Informatica IDQ, EDC, and Axon. These three tools are currently being used on one of our projects in the Middle East.

We recently started a project with one of our clients in Saudi Arabia, and we are using Informatica Cloud Data Quality for data quality management.

The customer required us to use Informatica Cloud Data Quality. They insisted on having it and were willing to pay more, which is fine because we tried to ensure that the tool is just a mechanism to automate activities, not the backbone for implementation.

What is most valuable?

EDC stands for Enterprise Data Catalog, IDQ stands for Informatica Data Quality, and Axon is for governance.

Mainly with data quality, we have a full data quality management suite through Informatica Cloud Data Quality itself, starting from documentation of business rules, profiling, getting any kind of issues with data quality, doing assessments, and we do these kinds of frequent measures for data quality, as well as resolving any kind of issues.

Regarding the features, the dashboards related to data quality profiling are the most powerful tool that we are using, and the integration between EDC and the data quality is very important. Having this feature provides a real understanding of the environment and also aids in quality management for whatever kind of data sources within the organizations.

What needs improvement?

The configuration of Informatica Cloud Data Quality is one of the challenges we have, especially with a limited number of users which is always a challenge when using Informatica as a tool.

Our administration team always refers to Informatica Middle East for each step, so communication is also one of our obstacles because materials to explain the steps seem not very mature. The technical team struggles, as they keep getting back to Informatica almost every day for feedback and guidance, and this should be automated somehow so that people can easily access the materials.

The tool itself is mature and everything is fine, but we have these kinds of facilitations that the tool itself needs to be improved.

How are customer service and support?

I am satisfied with the quality of support I receive, but sometimes we get some delays here and there when it comes to responses, but overall, it's good.

How would you rate customer service and support?

Positive

Which other solutions did I evaluate?

I do not consider that Informatica Cloud Data Quality is cost effective enough, as it's very expensive and we are using another tool called OvalEdge, which is similar in some features, but not all features. OvalEdge has about 90% of the functionality of Informatica Cloud Data Quality but costs about a third of the price.

I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high. My experience with Informatica Cloud Data Quality compared to OvalEdge shows that OvalEdge is better because they are very flexible, they develop connectors whenever there is a requirement, they respond immediately, and the installation and configuration of the tool is straightforward and easy to use at a third of the price of Informatica Cloud Data Quality.

What other advice do I have?

Collaboration between team members is important. On a scale of one to ten, I rate Informatica Cloud Data Quality a nine 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
    Raj Sethupathi - PeerSpot reviewer
    Data Integration Consultant GCP/AWS at a consultancy with 10,001+ employees
    Real User
    Top 20
    Jun 24, 2024
    Offers profiling and address standardization but can be complicated
    Pros and Cons
    • "We use parts and standardization for most of our testing. We purchase the US Postal Service address database, which is updated periodically. Many useful tools, such as Google Maps, can detect and mark new businesses or changes in business locations. Informatica captures and updates this information. Some periodic maintenance is involved, but setting it up is not overly complicated."
    • "Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."

    What is our primary use case?

    Informatica Data Quality offers functionalities such as profiling and address standardization. It identifies discrepancies in data through profiling, providing statistical insights similar to other data quality tools. What sets IDQ apart is its integration with PowerCenter, Informatica's flagship data integration tool. IDQ includes a developer tool with a wide range of transformations like Cost, Standardizer, and Cleanser, which are essential for data quality management. It operates as a batch-based tool, distinguishing itself in the market. While IDQ focuses on these aspects, it doesn't directly relate to tools like TDM or MDM, which are separate solutions.

    How has it helped my organization?

    Whenever I open and close Informatica Data Quality, I get consistent results. However, since I moved away from Informatica in the last two to three years, I have also evaluated other products. There is an ETL tool by SAP, specifically Business Objects Data Services, which has some pros and cons. It can integrate more files.

    What is most valuable?

    We use parts and standardization for most of our testing. We purchase the US Postal Service address database, which is updated periodically. Many useful tools, such as Google Maps, can detect and mark new businesses or changes in business locations. Informatica captures and updates this information. Some periodic maintenance is involved, but setting it up is not overly complicated.

    What needs improvement?

    Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process.

    Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash.

    Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.

    What do I think about the scalability of the solution?


    What other advice do I have?

    I have worked with Informatica Data Quality up to version 10.4, around 2020, about two or three years ago. During that time, there was a code bug at the driver level when connecting to hardware. When attempting to profile data, the system would crash. We had to collaborate with engineers from Informatica to fix the bug, which was eventually resolved in the 10.5.1 release.

    Informatica Data Quality has its client tool. You can build your code on your laptop and then upload it to the database metadata. However, for some parts of the development, you might need to log into the server to complete the tasks.

    Informatica Data Quality can build dashboards and integrate with reporting tools like Tableau and Power BI. It also supports integration with tools like Microsoft, Cognos Business Intelligence, and SAP Crystal Reports. This flexibility is a crucial feature of Informatica. As for SaaS, Informatica does offer SaaS options. Additionally, it can interface with statistical software like SAS, allowing users to build code in SAS and then import it into Informatica. This simplifies the process and eliminates the need for manual coding.

    If you remove the PowerCenter tools, the next closest competitor would be IBM's InfoSphere DataStage. Additionally, there are free, not free, and less expensive community editions of various tools. For instance, Talend offers an open-source ETL tool, while Pentaho has a miniature business version of ETL. Microsoft itself provides ETL tools like SSIS and reporting tools. Data quality is not necessarily tied to any vendor—data is data, and various tools can manage anything that flows in.

    Overall, I rate the solution a seven out of ten.

    Disclosure: My company does not have a business relationship with this vendor other than being a customer.
    PeerSpot user
    PrashantTripathi - PeerSpot reviewer
    Data Engineer at a pharma/biotech company with 10,001+ employees
    Real User
    Top 5
    Oct 31, 2024
    Advanced cloud services optimize robust data integration
    Pros and Cons
    • "Informatica Intelligent Cloud Services offers a wide variety of services, including Cloud Data Integration, which is akin to a replica of PowerCenter on the cloud. I particularly like the mass ingestion service."
    • "The cloud version of Informatica, although easier and more advanced than PowerCenter, still requires a deep dive to fix bugs."

    What is our primary use case?

    On one of my projects, we used Informatica Intelligent Cloud Services for ingestion purposes. Secondly, we used it as a regular ETL for performing heavy transformations.

    How has it helped my organization?

    In our current scenario, we are moving our on-premise artifacts, which are on PowerCenter, to the cloud. It was surprisingly quick to get everything working, which has been beneficial for our operations.

    What is most valuable?

    Informatica Intelligent Cloud Services offers a wide variety of services, including Cloud Data Integration, which is akin to a replica of PowerCenter on the cloud. I particularly like the mass ingestion service.

    What needs improvement?

    The cloud version of Informatica, although easier and more advanced than PowerCenter, still requires a deep dive to fix bugs. It could be improved by making the process as intuitive and easy to follow as PowerCenter.

    For how long have I used the solution?

    I have delivered two projects using it, so from my experience, the tool is very good.

    What do I think about the stability of the solution?

    There are some bugs and glitches, which for a beginner, can take time to resolve. This may be because I have spent less time on the tool compared to others.

    What do I think about the scalability of the solution?

    Scalability doesn't impact Informatica technically, but it does take a lot of money when we keep adding users.

    How are customer service and support?

    Informatica technical support is excellent. I would rate it a nine. They are top-notch.

    How would you rate customer service and support?

    Positive

    How was the initial setup?

    The initial setup is easy and not complex.

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

    Pricing is a bit high, similar to a premium version or a high-end product, and requires a budget ready to manage it.

    Which other solutions did I evaluate?

    During POCs, we explored other ETLs like Firetran for ingestion purposes, but Informatica's capabilities are robust.

    What other advice do I have?

    For a robust use case, especially for large enterprises, Informatica Intelligent Cloud Services is a good tool with good support. However, make sure to have a budget ready.

    I would rate it an eight out of ten.

    Which deployment model are you using for this solution?

    Public Cloud
    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: August 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.