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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 May 2025, in the Metadata Management category, the mindshare of Collibra Catalog is 12.5%, up from 9.6% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 25.1%, down from 27.1% 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 most valuable features of Collibra Catalog are its customizability and ease of use."
"Collibra Catalog's best feature is the data quality checker."
"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."
"We have had no complaints about the stability."
"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."
"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."
"The workflows allow the creation of custom workflows based on needs."
"The OAuth feature is the most valuable feature for authentication."
"The product seems stable enough."
"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."
"It provides all the typical MDM capabilities like deduplication and machine survivorship."
"The tool's most valuable feature is bulk upload. We upload files in CSV or Excel format."
"We've used the solution for quite some time, so in our organization, the product is pretty mature."
"It is one of the best tools available for data integration."
"​The tool manually checks on applying business rules and helps to implement them."
 

Cons

"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."
"The tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use."
"If the price is a bit reduced, that would be better."
"More automation and artificial intelligence involvement are necessary. Reducing required employee involvement and enhancing ease of use are vital."
"If it can become more user-intuitive and work on integrating with communication platforms like Slack or Teams, it would significantly help business users."
"I'd like to see more integration with other reporting sources."
"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources."
"The cloud version of the Informatica, it's a very substandard product. They might say it's enterprise-ready but it's not at all ready. They need to add more features, such as improved data replication features. If you look at other tools, such as Matillion they are now cloud-native and flexible. Additionally, Informatica Cloud Data Integration should have a good migration strategy from Informatica PowerCenter to Informatica Cloud Data Integration."
"Informatica MDM could improve the interdependency with integration. The solution sometimes becomes a bit difficult to change considering a lot of interdependency with the integration. There can be some improvement in the workflows and they can introduce more artificial intelligence."
"Informatica Axon does not provide complete transparency about the level of detailing you need and the logic used in ETL."
"The integration with other data management tools can be enhanced. For instance, there is no integration with tools like Collibra or Hubview."
"The cloud version of Axon is far behind the on-prem, and many of my clients want to go fully to the cloud. However, Axon has to be an on-prem installation. I would like to see their cloud products catch up with their on-prem capabilities."
"The product isn't mature enough to provide suitable connectors to various data engines."
"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."
"Some functionalities can be a challenge in the cloud."
 

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."
"It's an expensive solution."
"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."
"it's expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"We are quite happy with the licensing model."
"The price of Informatica Cloud Data Integration could be reduced."
"The product is very expensive"
"The product is highly-priced."
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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: April 2025.
849,686 professionals have used our research since 2012.