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Collibra Catalog vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 3, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Collibra Catalog
Ranking in Metadata Management
3rd
Average Rating
8.0
Reviews Sentiment
7.6
Number of Reviews
9
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Metadata Management
1st
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
182
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (13th), Business-to-Business Middleware (4th), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (1st), Data Masking (2nd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Mindshare comparison

As of April 2025, in the Metadata Management category, the mindshare of Collibra Catalog is 12.4%, up from 9.6% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 25.4%, down from 27.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Metadata Management
 

Featured Reviews

Tejbir Singh - PeerSpot reviewer
Facilitates data quality monitoring and AI governance with a complete suite of tools
When I initially started with Collibra, it was just a data cataloging platform with governance workflows around it. Now they have acquired a lot of other tools, or they have merged or acquired different platforms. It is a complete suite of tools for managing data. We can monitor data quality and take actions on the profiling results obtained by running data quality checks. Collibra helps catalog data assets, monitor the health of data assets, and take necessary actions. If we find data quality issues, it also provides a medium to capture those issues and how to remediate them. The workflows allow the creation of custom workflows based on needs. The newest addition in their tool suite is AI governance, which allows cataloging all AI models currently deployed or even in the pre-production stage. It helps document model meanings and the risks involved, thus managing all risks related to AI deployments.
Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Except for data quality, everything is perfect."
"The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations. Moreover, data lineage visualization in Collibra Catalog aids our data governance initiatives."
"Collibra Catalog has significantly enhanced data governance and compliance for our team, primarily through its valuable feature of endpoint lineage enabling visual representation of the data."
"Collibra Catalog is simple to use and user-friendly for those who are not technically inclined since it is easy to find while also easy to see data lineage diagrams."
"Collibra Catalog's best feature is the data quality checker."
"We have had no complaints about the stability."
"Collibra Catalog allows us to automate metadata management, significantly saving time, effort, and finances."
"The workflows allow the creation of custom workflows based on needs."
"It is easy to create REST-based interfaces of the master data objects."
"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."
"The staging and hierarchical features are the most valuable."
"The solution scales well."
"The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation."
"Informatica is user-friendly, stable, and scalable. These three aspects are the most valuable for us. If we can make it work well with the CRM, we can continue or try again this year to complete that part of the project. I am confident that this kind of solution is what we need because we have a third-party resource that works in the development."
"The user interface is flexible and the visibility of the data flow is amazing."
"Informatica Persistent Data Masking can mask production data for different users, ensuring that only authorized individuals can access sensitive information."
 

Cons

"More automation and artificial intelligence involvement are necessary. Reducing required employee involvement and enhancing ease of use are vital."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"There is an issue with Collibra Catalog's pricing model, especially for organizations with many databases, as the initial package comes with a limited number of connectors."
"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources."
"The tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use."
"I'd like to see more integration with other reporting sources."
"If the price is a bit reduced, that would be better."
"If it can become more user-intuitive and work on integrating with communication platforms like Slack or Teams, it would significantly help business users."
"There are a small number of UI bugs that occur on occasion."
"There is room for improvement in the support. The response time could be faster."
"Data integration should be improved."
"I would like to see support for more data sources."
"The scalability is tough."
"The customer servive and support could be faster. There is a slow turnaround."
"This is a costly solution. We have several customers who evaluate it but then look for other solutions because of the cost. At present, Informatica MDM comes as an on-premises or cloud-based solution. I would like to see them offer a SaaS-based MDM model. I think they are working on it."
"Certain applications are not being synced with the ION."
 

Pricing and Cost Advice

"Collibra offers a per-user licensing model."
"The product is highly priced compared to other vendors."
"I think they can bring a few more features and align better with other quality products."
"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."
"The solution is very expensive."
"There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty expensive."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"It is expensive. That's probably the biggest drawback. The business has heartache paying the license, but that's mainly because they don't realize what value it brings. The key thing about the MDM solution is that it is in the backend, and no one sees what it is actually doing. You don't know it is a problem until it is not there."
"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."
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Top Industries

By visitors reading reviews
Financial Services Firm
29%
Computer Software Company
9%
Manufacturing Company
7%
Insurance Company
6%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Collibra Catalog?
The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations. Moreover, data lineage visualization in C...
What is your experience regarding pricing and costs for Collibra Catalog?
Currently, the pricing is at an average market rate. However, there are plans to increase license rates. Overall, it is a reasonable and average rate.
What needs improvement with Collibra Catalog?
More automation and artificial intelligence involvement are necessary. Reducing required employee involvement and enhancing ease of use are vital. Users often find it challenging to utilize data go...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
 

Also Known As

No data available
ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
 

Overview

 

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
The Travel Company, Carbonite
Find out what your peers are saying about Collibra Catalog vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: March 2025.
848,716 professionals have used our research since 2012.