Azure Data Factory vs Collibra Catalog comparison

The compared Microsoft and Collibra solutions aren't in the same category. Microsoft is ranked #1 in DI , with an average rating of 8.0, and holds a 9.5% mindshare in the category. Collibra is ranked #3 in MM , with an average rating of 8.0, and holds a 12.4% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Collibra users who would recommend it.

Azure Data Factory

Read 90 Azure Data Factory reviews

16,157 Views
12,990 Comparison Views

92% willing to recommend

Collibra Catalog

Read 8 Collibra Catalog reviews

719 Views
580 Comparison Views

100% willing to recommend

Azure Data Factory

Collibra Catalog

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and Collibra Catalog based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: March 2025).

Buyer's Guide

Data Integration

March 2025

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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

Azure Data Factory

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (1st), Cloud Data Warehouse (3rd)

Collibra Catalog

Average Rating

8.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Metadata Management (3rd)

Mindshare comparison

Azure Data Factory and Collibra Catalog aren’t in the same category and serve different purposes. Azure Data Factory is designed for Data Integration and holds a mindshare of 9.5%, down 12.7% compared to last year.
Collibra Catalog, on the other hand, focuses on Metadata Management, holds 12.4% mindshare, up 9.6% since last year.

Data Integration

Metadata Management

Featured Reviews

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

Facilitates seamless data pipeline creation with good analytics and and thorough monitoring

Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.

Read full review

Tejbir Singh

Engagement Manager at Fractal

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.

Read full review

Quotes from Members

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

Pros

"The scalability of the product is impressive."

"Azure Data Factory became more user-friendly when data-flows were introduced."

"The best part of this product is the extraction, transformation, and load."

"The platform excels in data transformation with its user-friendly interface and robust monitoring capabilities, making ETL processes seamless."

"In terms of my personal experience, it works fine."

"The overall performance is quite good."

"The trigger scheduling options are decently robust."

"I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets."

More Azure Data Factory pros

"The workflows allow the creation of custom workflows based on needs."

"Collibra Catalog allows us to automate metadata management, significantly saving time, effort, and finances."

"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."

"Collibra Catalog's best feature is the data quality checker."

"Except for data quality, everything is perfect."

"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."

Cons

"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."

"Data Factory's performance during heavy data processing isn't great."

"Azure Data Factory's pricing in terms of utilization could be improved."

"Data Factory's cost is too high."

"When we initiated the cluster, it took some time to start the process."

"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."

"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."

"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."

More Azure Data Factory cons

"The tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use."

"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of 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."

"More automation and artificial intelligence involvement are necessary. Reducing required employee involvement and enhancing ease of use are vital."

"I'd like to see more integration with other reporting sources."

"Collibra Catalog could improve its automation to increase the efficiency of the software."

Pricing and Cost Advice

"I would rate Data Factory's pricing nine out of ten."

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

"The pricing model is based on usage and is not cheap."

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

"It's not particularly expensive."

"The solution's pricing is competitive."

"The cost is based on the amount of data sets that we are ingesting."

More Azure Data Factory pricing and cost advice

"Collibra offers a per-user licensing model."

"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Financial Services Firm

30%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Azure Data Factory compare with Informatica PowerCenter?

Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...

See all answers

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...

See all answers

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...

See all answers

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.

See all answers

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...

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 12% of the time

Snowflake vs Azure Data Factory

Compared 10% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 7% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs Collibra Catalog

Compared 28% of the time

Ab Initio Co>Operating System vs Collibra Catalog

Compared 18% of the time

Palantir Foundry vs Collibra Catalog

Compared 16% of the time

Talend Data Management Platform vs Collibra Catalog

Compared 14% of the time

Denodo vs Collibra Catalog

Compared 10% of the time

More Collibra Catalog Competitors

Product Reports

Buyer's Guide

Azure Data Factory

March 2025

Download Azure Data Factory product report

Buyer's Guide

Metadata Management

March 2025

Download Collibra Catalog product report

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

Collibra Catalog is both a report and a data catalog that helps analysts and information users spend less time looking for essential clinical, financial, and operational data and more time solving critical business challenges.

Collibra

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive

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