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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.
907,372 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.
907,372 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
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: 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.