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Sabahat Hussain - PeerSpot reviewer
Data Governance Lead at Habib Bank Ltd.
Real User
Top 5
Represents clusters nicely and has good interface but needs improvement in integration
Pros and Cons
  • "The most valuable feature of Informatica Axon is features, interfaces, and data mapping. It represents clusters nicely."
  • "The solution should improve its integration."

What is our primary use case?

Our use cases were related to the financial and banking sectors. We created data and transferred it to the enterprise level. 

What is most valuable?

The most valuable feature of Informatica Axon is features, interfaces, and data mapping. It represents clusters nicely. 

What needs improvement?

The solution should improve its integration. 

For how long have I used the solution?

 I have been using the product for three years. 

Buyer's Guide
Informatica Intelligent Data Management Cloud (IDMC)
March 2025
Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: March 2025.
844,944 professionals have used our research since 2012.

What do I think about the stability of the solution?

Informatica Axon is stable. 

What do I think about the scalability of the solution?

The product is scalable. 

How are customer service and support?

The tool's support is fine. 

How was the initial setup?

Informatica Axon's deployment is straightforward. 

What other advice do I have?

I rate the product an eight out of ten. 

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Kunal -Verma - PeerSpot reviewer
Solutions Architect at LTIMINDTREE
Real User
Top 10
Provides efficient data modularization features, but its technical support services need improvement
Pros and Cons
  • "The solution has the best feature for parameterization."
  • "Its features for partitioning and optimization could be better."

What is our primary use case?

We use the solution for data modularization.

What is most valuable?

The solution has the best feature for parameterization. We can apply it at the mapping and task flow levels. It helps with auto-linking and dynamic linking options for flexible data integration.

What needs improvement?

The solution's capability to handle large volumes of data compared to its on-premise version needs improvement. Its features for partitioning and optimization could be better as well. There needs to be more options for partitioning, including database partitioning, pass-through partitioning, etc. Additionally, it doesn't support XML data types for SQL server databases. Also, it captures success and targets rows only within a system-defined area. It should be able to capture and track the number of rows processed by each pipeline.

Presently, users need to write code against the existing APIs to access information data. It is a complicated process due to the limited functionality of APIs. Instead, there could be an option to write queries against repository tables to fetch the data like its on-premise version.

For how long have I used the solution?

We have been using the solution for two years.

How are customer service and support?

The solution's technical support team could be responsive. We have to contact their global support team to raise new feature requests. Currently, we encounter issues with parameterizing email IDs at the task level to configure features for success, warning, and failure. We sent a request to them back in 2020, but they are yet to add those features.

What other advice do I have?

I rate the solution a seven out of ten.

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

Microsoft Azure
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Buyer's Guide
Informatica Intelligent Data Management Cloud (IDMC)
March 2025
Learn what your peers think about Informatica Intelligent Data Management Cloud (IDMC). Get advice and tips from experienced pros sharing their opinions. Updated: March 2025.
844,944 professionals have used our research since 2012.
Architect at Agence Française de Développement
Real User
Top 5
A stable solution that needs architectural and technological updates
Pros and Cons
  • "I think that it's a good solution...It is stable because we have the experience to deploy this solution."
  • "The product could be improved in the area of architecture and technology. All the parts are old."

What is our primary use case?

We have used it to elaborate on a project for Golden Record, for IDQ data quality, and create business cases for the control parties.

What needs improvement?

The product could be improved in the area of architecture and technology. All the parts are old.

I would like to migrate it to a new technology. It's better to have a new method for every IT system. Integrate with API, Kafka, and JMS, as API has in Jira code or Jira.


For how long have I used the solution?

I have used Informatica MDM for ten years. I have used Version 8.6 and 9.1 of this solution.


What do I think about the stability of the solution?

I think that it's a good solution, but it's an old solution. It is stable because we have the experience to deploy this solution.


What do I think about the scalability of the solution?

I think it's based on ODBC drivers, and they are not good for scalability.

How are customer service and support?

We have not contacted customer service.

How was the initial setup?

The initial setup was complex. It must have taken around eight or nine months to deploy all Informatica systems. The deployment processes for on-premise and cloud are different. For on-premise, we must deploy the data models, and then we must deploy the rules. We must also deploy a .Go file extension and an exposition of the vendor code, among other things.

It's different if we have an on-premise solution. The stability is for the on-premise infrastructure. It builds the IT of enterprises of clients because Informatica is at 'Legacy' level.


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

So, there are plans for licensing. There are subscription-based and usage-based licenses. Also, there are licenses for exceptional analytics, etc. In short, there are different models of licensing for every enterprise.


What other advice do I have?

I think there is a new Jira-driven event, Jira-driven data, for the flows and extensions. So in this power center technology, I think that it's complex to navigate through the solution without new technology. Overall, I rate the solution a seven out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Davy Michiels - PeerSpot reviewer
Company Owner, Data Consultant at Telenet BVBA
Real User
Top 5Leaderboard
A powerful tool that works well with other solutions and has great technical support
Pros and Cons
  • "You can extract and transfer your data as you wish it to be consumed later."
  • "There are also some technical issues sometimes with integrations because clients have a lot of different types of data sources."

What is our primary use case?

I'm a freelance consultant, so I work for a few different clients on different projects. Sometimes I do system integrations, and sometimes it's more of the deployment of the tool itself. 

Informatica Axon is mainly used for master data management because it's quite a powerful tool. Lots of clients are struggling because Collibra is not an MDM tool. Azure has some possibilities in the data factory for MDM, but in the end, it doesn't have the engine that Informatica has. I see quite a few clients bring Informatica into the architecture for ETL processes. They use it to extract, transfer, and load data, in addition to MDM, since they're a bit restricted with other tools.

What is most valuable?

I think definitely what my clients find strong about the solution is all of the processes that it can do. You can extract and transfer your data as you wish it to be consumed later. I definitely hear that this adds value to the tool. 

Another thing I hear clients say is that you can use the MDM modeling functionality as a kind of engine to do data cleansing before you consume the data.

Also, for example, Collibra works closely together with Azure, which works closely together with Informatica and Google because the clients have needs that can't be fulfilled all by one platform. Solutions needs to fit into that architecture, and Informatica can fit in there, and that's appreciated in the market.

What needs improvement?

There is always room for improvement in making the look and feel more user-friendly. There are also some technical issues sometimes with integrations because clients have a lot of different types of data sources.

One thing I miss with Informatica is the sandbox environment. I do freelance consulting, meaning I give trainings, and sometimes clients ask me to give a training in my own environment, my sandbox environment. 

I have an environment that Collibra provides me with for certifications of training, so I can use a kind of sandbox to actually show a few things to clients.  I have the same thing with Microsoft. With Informatica, it's a bit more difficult. They're not that willing to provide the sandbox to an individual consultant, so I'm just on my own. That's a bit of a pity because sometimes if a client has something that is not configured, I can quickly configure it in my own environment and then show it in a demo. I don't have that opportunity with Informatica. I have to work on the client's system, which then sometimes causes security problems.

What do I think about the stability of the solution?

I don't have complaints about the stability, and I don't see it as a big issue coming up with my clients. The app sometimes had issues for some clients but it was not business critical or actually impacting them.

What do I think about the scalability of the solution?

I think it is scalable, but that is not really the focus of my work. There are a lot of reasons I can give that the scalability might be affected, but they are actually not really related to the tool itself, but just how you build it in.

How are customer service and support?

If I have a problem with the client and I'm a bit stuck, the support is really good. I can fall back on the people from support and they're quite willing to help. 

It can also help the client because I do a project for six or twelve months, and then I'm gone. If the client has a question after that, they can talk to the support and it's really good. 

From what I have experienced, I would give the technical support an eight out of ten. 

How would you rate customer service and support?

Positive

How was the initial setup?

I think the setup is quite easy if you are data-minded. If you don't have any clue about data management or don't have that background, you're not going to be able to do it. You need to have a bit of technical understanding to do it in the correct way. If you're completely new and you don't have that background of experience, then it's a bit harder, and you'll need to follow a step-by-step plan.

I see clients starting to set it up from scratch and it takes three years. If a client says they want to deploy it within their whole organization, then, in general, you need to count about three years because it's not only the tool. You also need to set up your governance and your organization on it. All of your processes need to be aligned with the tool, so it's a three-year program in general.

Both for the business end users and for the technical people, the maintenance is more on the technical side. For example, for the API connections, the batch processes, and the real-time processes, it's not always easy. One of the things that I always say to my clients is that they need to document everything, and that helps. I tell them to build into their project a documentation pillar where they document everything that they do, like their MDM and rules. It's easier if they have good documentation, but it's still a challenge. Without documentation, it's hard.

What other advice do I have?

I think definitely starting it up gradually, meaning don't buy the tool and then start trying to put everything in from the beginning. First, think about: What do I want to bring into the tool? Which sources do I want to go integrate with the tool? Which data, which business areas do I want to cover with that? You need to do a modeling exercise. You need to do some preparation work first and take it slow. Start small, take a specific business unit or data domain, and then show the value for your business. Then the budget will come, and you can do more with the tool. 

I rate this solution as an eight out of ten.

Disclosure: My company has a business relationship with this vendor other than being a customer: Integrator
PeerSpot user
Ragapriyadharsini Muthaiyan - PeerSpot reviewer
Data Architect & Senior ETL Developer at CloudBC Labs
Real User
Top 10
Efficient quality checks and data profiling
Pros and Cons
  • "I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
  • "There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."

What is our primary use case?

Data Quality involves quality checks and data profiling. It scans through the data, providing metrics like the number of nulls and unique values. Informatica Data Quality profiles the data.

What is most valuable?

In my experience, I've specifically worked with a feature called ARS Doctor, which is part of IDQ (Informatica Data Quality). So, in my earlier project, the core functionality of ARS Doctor revolved around address information sourced from the USPS postal service. It does validate the data. This is crucial because customer addresses often contain diverse writing errors. Given the presence of multiple applications, addresses can be inputted or tagged across various systems or enter their address data differently, yet it needs to conform to a standardized format. 

Therefore, each address, even if inputted from distinct systems, undergoes validation to match a single, customizable format. We also have customized settings for these validations.

What needs improvement?

There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny.

For how long have I used the solution?

I possess extensive hands-on experience and expertise in Informatica.

What do I think about the stability of the solution?

I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset compliance in various scenarios.

What do I think about the scalability of the solution?

In terms of scalability, you see, it is on the cloud environment, which itself gives the scalable, and flexibility in terms of accommodation of the data. So if we want to scan across the data for the quality and checks, like, not on any sample data. We really want to do this profiling on the checks on a lot of data. So it is very much visible in the cloud environment, which is cloud storage, which is provided by AWS or Azure, or GCP.

How are customer service and support?

Based on my experience and involvement in reported discussions throughout my career, I would definitely give their customer service a high rating. We receive excellent support from Informatica's team, especially during activities like upgrades and other related tasks. 

How would you rate customer service and support?

Positive

How was the initial setup?

When it comes to the initial setup, particularly in a cloud environment, it's primarily license-based. There are various features available, each catering to different needs. The platform can establish connections with various systems based on the connectors it offers. These connectors facilitate integration with different environments. 

When it comes to data quality, it is a license-based model. So, if you procure the necessary licenses, you gain access to the relevant options. It's all about tailoring the solution to the specific requirements of the project.

If the goal is to perform quality checks separately, there's the option to employ dedicated products for that purpose. Alternatively, data quality checks can be integrated into the data integration process. Naturally, data integration involves elements of reconciliation, verification, and quality assessment. The chosen approach hinges on factors such as data volume and the complexity of requirements. If these factors increase, the option to select different products designed for specific tasks becomes viable and can be explored further.

What other advice do I have?

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

The solution gives us the visual features on how the quality is because back in few years or back some time ago. So it was, like, always a kind of hidden thing because, as a part of the data governance, we do have a lot of data dumped in the data warehouse. But relaying we have been just relying on the data warehouse. So we didn't know, like, it is really giving us the powerful insight, or it is really giving our quality data because it could be junk or anything. So, in that case, at least this solution definitely gives us the strength with the visualization part, which gives us, "Okay, these are the different types of data it exists and data. These are the different qualities where it can improve the quality." 

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
InitZero - PeerSpot reviewer
Enterprise MDM Architect / Solution Arch at Volvo Group
Real User
Top 10
Has good stability and an easy initial setup process
Pros and Cons
  • "The solution's scalability is high."
  • "Its cloud-based version has a few limitations compared to the on-premise version."

What is most valuable?

The solution is robust. We can connect with quality analysis tools for summarizing the data as well. It has all the essential features.

What needs improvement?

The solution's cloud-based version has a few limitations compared to its on-premise version.

For how long have I used the solution?

I have been using the solution for eight years.

What do I think about the stability of the solution?

The solution is highly stable. We never had any issues with the cloud version. I rate its scalability a ten out of ten.

What do I think about the scalability of the solution?

The solution is highly scalable. I rate its pricing an eight or nine out of ten.

How are customer service and support?

The solution's technical support team is well-skilled.

How would you rate customer service and support?

Positive

How was the initial setup?

The solution's initial setup is straightforward. I rate the process a ten out of ten. It takes a little time to deploy and requires minimal staff.

What about the implementation team?

Our vendor manages the solution's implementation.

Which other solutions did I evaluate?

Our clients evaluated Profisee and Precisely before. Comparatively, Informatica provides better integration with quality analysis, data governance, and data integration tools.

What other advice do I have?

I advise others to know their company's requirements before implementing the solution. I rate it an eight out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Rohit-Verma - PeerSpot reviewer
Practice Head Director at Coforge
Real User
Has a good match and merge function and is very stable
Pros and Cons
  • "It has improved our organization because it has made our data more reliable. Data is the most important asset these days, and in order to trust your data, you need these tools to make sure that your data is clean and reliable."
  • "New machine learning could be added to Informatica MDM because the solution is outdated and is not moving with the current trends. The solution is good, but it definitely needs a lot of improvement and needs to speed up as per the market."

What is our primary use case?

We use Informatica MDM for various clients for integration, removing duplicates, and centralizing data in one place.

How has it helped my organization?

It has improved our organization because it has made our data more reliable. Data is the most important asset these days, and in order to trust your data, you need these tools to make sure that your data is clean and reliable.

What is most valuable?

The match and merge function is good.

What needs improvement?

New machine learning could be added to Informatica MDM because the solution is outdated and is not moving with the current trends. The solution is good, but it definitely needs a lot of improvement and needs to speed up as per the market.

Artificial intelligence is something which they should add to the solution.

They need to do MDM on real-time data as well.

The price is a big factor. We try to convince our clients to go for Informatica, but the cost is too high, and they choose another product.

For how long have I used the solution?

I've been using this solution for 15 years.

What do I think about the stability of the solution?

It's a reliable and perfectly stable solution.

What do I think about the scalability of the solution?

It is scalable but to a certain limit.

How are customer service and support?

I'm satisfied with the technical support.

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

Previously, I used IBM MDM, Orchestra Networks MDM, SAP MDM, and Oracle MDM. I have used a lot of MDM tools, and I've found that Informatica is the best solution out of all of them in terms of the architecture and user-friendliness. Also, the graphical user interface is very simple to use.

How was the initial setup?

The initial setup is not very straightforward but not very complex either. It's somewhere in the middle.

Deployment can take six to seven months to a year or two years. It depends on the number of domains and the number of data sets you need to implement.

A team of eight to nine people can usually handle the deployment.

We mostly deploy on-premises and sometimes on the cloud. Informatica is very weak on cloud-based computing though.

What about the implementation team?

We implement the solution for our clients.

What was our ROI?

Based on my clients' feedback, they have seen a return on investment in the long-term. After five or six years, they can definitely see that the value of their data is growing.

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

Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well.

What other advice do I have?

If you are choosing Informatica, then you need to employ the right kind of service provider. If you don't have good implementers, you'll not be able to leverage the product. So, choose your consultant and service provider wisely; then, you will not have any issues when implementing Informatica.

I would rate Informatic MDM at eight on a scale from one to ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: My company has a business relationship with this vendor other than being a customer: partner
PeerSpot user
InitZero - PeerSpot reviewer
Enterprise MDM Architect / Solution Arch at Volvo Group
Real User
Top 10
The best MDM solution in the market with good data cleansing capabilities and good stability
Pros and Cons
  • "Its data cleansing capabilities are very valuable. The match and merge and the audit trail functionalities are very good."
  • "Their support should be improved. We have had some trouble with their support from time to time. Its scalability should also be improved. I would also like to have a bit more modern and friendly UI for the end-users. There should definitely be a simplified way to configure and set it up."

What is our primary use case?

I have worked with two clients implementing Informatica MDM. One use case was for the regulatory master data in big pharma (using multidomain edition), on premise installation. The other installation was related to several data domains implemented using Informatica multi-domain MDM edition, but hosted by vendor.

How has it helped my organization?

Helped identifying and reducing data duplication. Helped in improving data quality.

What is most valuable?

Its data cleansing capabilities are very valuable. The match and merge and the audit trail functionalities are very useful. Review and approval workflows are widely used by the user community.

What needs improvement?

Informatica support should be improved, as resolution of some cases takes definitely too long. Scalability of the solution should also be improved.

I would also like to have a bit more modern and friendly UI for the end-users. There should definitely be a simplified way to configure the system and set it up for the end users.

For how long have I used the solution?

I have been working with Informatica MDM for three years - on premise and hosted version. I started with MDM 10.2, and then with version 10.3 upgrade to 10.4, which is the latest one.

What do I think about the stability of the solution?

Its stability is pretty good. We don't have any major concerns.

What do I think about the scalability of the solution?

It is scalable, but its scalability should be improved especially with the hosted version.

It is a strategic MDM solution in the company, so it is extensively used.

How are customer service and technical support?

We have had some trouble with their support from time to time. Resolution time could be improved.

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

We have been replacing several very old solutions which reached end of extended support life and several old bespoke systems.

How was the initial setup?

It is a pretty complex product, so the initial setup is also complex. You require skilled resources to deploy this product. Its deployment can take several months.

What about the implementation team?

We use an experienced system integrator and seasoned external consultants.

What other advice do I have?

It is a pretty good and advanced tool, but at the same pretty complex to set up. To implement Informatica MDM, you should look for very skilled resources with past experience in deploying Informatica MDM, not competitive solutions. 

Informatica MDM is one of the best in the market in the master data management area. Make sure that you realize the potential of this solution and like with all other MDM projects - plan your roadmap carefully. Start small, enable most important capabilities and then work on enabling additional features.

Don't overengineer. Informatica MDM is very flexible in defining the underlying models, setting up workflows, enabling cleansing, etc. Hence a risk of misusing the product or make it too complex and downgrade its performance of usability. If you don't have really skilled resources who have worked with Informatica MDM, there is a good chance that the project will simply fail, or it will take you much longer than expected to deploy and benefit from this product.

I would rate Informatica MDM a nine out of ten.

Which deployment model are you using for this solution?

Private Cloud

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

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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: March 2025
Buyer's Guide
Download our free Informatica Intelligent Data Management Cloud (IDMC) Report and get advice and tips from experienced pros sharing their opinions.