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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
7.5
Number of Reviews
8
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) (11th), 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 (2nd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Mindshare comparison

As of March 2025, in the Metadata Management category, the mindshare of Collibra Catalog is 12.0%, up from 9.5% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 26.2%, down from 27.3% 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

"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."
"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."
"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."
"Except for data quality, everything is perfect."
"Collibra Catalog's best feature is the data quality checker."
"The valuable feature is metadata management. If you want to trace sensitive data, you can auto-classify them. You can search for sensitive information through EDC. Using Discovery, you can identify if there is any type of data set."
"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."
"We can see all our information on a single screen."
"It is easy to create REST-based interfaces of the master data objects."
"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."
"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."
"The solution has multiple valuable features for metadata collection"
"You can extract and transfer your data as you wish it to be consumed later."
 

Cons

"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."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"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."
"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."
"They have too many diversified products. If you don't know Informatica, it's very confusing and feels very idiotic."
"I would like to have the solution in one product and technical support needs to be better."
"Informatica MDM has limitations with connectivity."
"There is room for improvement in the support. The response time could be faster."
"This solution is hard to set up and its interface is not user-friendly. It's also not as stable, and the technical support takes a lot of time to solve simple problems."
"Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance."
"There could be a lot more application integration."
"If I compare it with other MDM solutions in the market, one thing that can definitely be improved is automation to help with the configuration. Currently, when we are creating any staging of base object tables, all the columns have to be configured manually in the Informatica Hub Console. A lot of tables and different kinds of business columns have to be configured manually. There should be an automated process for this, especially in the Dev environment. When people are creating tables and columns from scratch, if there is a backend automated process for that, it would be really helpful. In Stibo, a similar feature is there wherein you can tag attributes to certain objects. It would be helpful if Informatica also provides a similar option. It would reduce the manual effort. It could be that such a feature is already there, but I am not aware of it."
 

Pricing and Cost Advice

"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."
"Collibra offers a per-user licensing model."
"I think they can bring a few more features and align better with other quality products."
"The product is highly priced compared to other vendors."
"We are quite happy with the licensing model."
"The product is highly-priced."
"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."
"The price is high, but the competitors are even higher, like Collibra."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
"The solution is very expensive."
"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
Computer Software Company
11%
Manufacturing Company
6%
Healthcare Company
6%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Government
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?
Pricing is definitely one of the costliest in the data catalog market. It competes with the likes of Informatica in terms of price. It is best suited for established Fortune 500 companies.
What needs improvement with Collibra Catalog?
Collibra is working on making the latest version more user-intuitive. The previous versions were easier for technical resources to use, however, not so much for business people who are not tech-sav...
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.
842,296 professionals have used our research since 2012.