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

 

Comparison Buyer's Guide

Executive Summary

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
Number of Reviews
7
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Metadata Management
1st
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
181
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (7th), 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)
 

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

"Collibra Catalog's best feature is the data quality checker."
"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."
"We have had no complaints about the stability."
"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."
"The workflows allow the creation of custom workflows based on needs."
"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."
"It is a highly scalable solution."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"The product improves data quality."
"The solution scales well."
"The most valuable features of Informatica MDM are its reliability, match functions, and integration capabilities. The out-of-box functionality of deduplication and built-in data models ensure faster implementation."
"It has been leading the market with hierarchy management and all the different match concepts and algorithms. They're very robust."
"REST API: Excellent for scripting control and reporting mechanisms"
"Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier."
 

Cons

"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."
"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."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources."
"The product could be improved in the area of architecture and technology. All the parts are old."
"The UI is extremely complex"
"Cost-wise, it could be better."
"Error reporting and debugging need improvement."
"Currently, there are limitations in processing and the interface."
"Connectivity could be improved, it can be a little slow."
"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."
"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."
 

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."
"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."
"The licensing price of the product depends on the organization's requirements."
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
"It's a costly solution"
"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."
"The product is very expensive"
"You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible."
"I rate the licensing cost of Informatica MDM a five out of ten."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
Computer Software Company
14%
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: December 2024.
831,265 professionals have used our research since 2012.