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 10.0% mindshare in the category. Collibra is ranked #3 in MM , with an average rating of 8.0, and holds a 12.0% 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

17,973 Views
14,229 Comparison Views

92% willing to recommend

Collibra Catalog

Read 8 Collibra Catalog reviews

762 Views
607 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: February 2025).

Buyer's Guide

Data Integration

February 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 10.0%, down 12.9% compared to last year.
Collibra Catalog, on the other hand, focuses on Metadata Management, holds 12.0% mindshare, up 9.5% 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.

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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

"Azure Data Factory is a low code, no code platform, which is helpful."

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

"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."

"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."

"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."

"The most valuable feature of this solution would be ease of use."

"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."

"Its integrability with the rest of the activities on Azure is most valuable."

More Azure Data Factory pros

"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."

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

"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."

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

Cons

"Data Factory's monitorability could be better."

"We have experienced some issues with the integration. This is an area that needs improvement."

"The one element of the solution that we have used and could be improved is the user interface."

"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."

"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."

"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."

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

"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."

More Azure Data Factory cons

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

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

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

"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."

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

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

Pricing and Cost Advice

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"The licensing is a pay-as-you-go model, where you pay for what you consume."

"Data Factory is expensive."

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

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

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."

"The solution's pricing is competitive."

"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."

More Azure Data Factory 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."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Financial Services Firm

30%

Computer Software Company

11%

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 17% of the time

Talend Data Management Platform vs Collibra Catalog

Compared 14% of the time

Palantir Foundry vs Collibra Catalog

Compared 14% of the time

IBM InfoSphere Information Governance Catalog vs Collibra Catalog

Compared 3% 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

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: February 2025.

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