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 9 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.

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Buyer's Guide

Data Integration

March 2025

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Helped 849,190 peers since 2012

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

7.6

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

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

"The trigger scheduling options are decently robust."

"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."

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

"We haven't had any issues connecting it to other products."

"It is beneficial that the solution is written with Spark as the back end."

"An excellent tool for pipeline orchestration."

"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."

More Azure Data Factory pros

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

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

"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."

"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 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."

"Except for data quality, everything is perfect."

"The most valuable features of Collibra Catalog are its customizability and ease of use."

More Collibra Catalog pros

Cons

"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."

"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."

"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."

"Data Factory's cost is too high."

"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."

"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."

"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."

"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."

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."

"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."

"If the price is a bit reduced, that would be better."

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

"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."

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

"If it can become more user-intuitive and work on integrating with communication platforms like Slack or Teams, it would significantly help business users."

Pricing and Cost Advice

"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."

"Data Factory is affordable."

"It's not particularly expensive."

"The pricing is a bit on the higher end."

"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."

"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 solution is cheap."

More Azure Data Factory 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."

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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

29%

Computer Software Company

Manufacturing Company

Insurance 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?

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.

See all answers

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...

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 11% of the time

Snowflake vs Azure Data Factory

Compared 9% 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 6% 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 26% of the time

Palantir Foundry vs Collibra Catalog

Compared 16% of the time

Ab Initio Co>Operating System vs Collibra Catalog

Compared 16% of the time

Talend Data Management Platform vs Collibra Catalog

Compared 13% of the time

More Collibra Catalog Competitors

Product Reports

Buyer's Guide

Azure Data Factory

April 2025

Download Azure Data Factory product report

Buyer's Guide

Metadata Management

April 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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