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 8.2, and holds a 8.4% mindshare in the category. Collibra is ranked #3 in MM , with an average rating of 8.0, and holds a 11.8% 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 91 Azure Data Factory reviews

13,611 Views
8,716 Comparison Views

92% willing to recommend

Collibra Catalog

Read 11 Collibra Catalog reviews

680 Views
181 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

June 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

7.0

Number of Reviews

Ranking in other categories

Data Integration (1st), Cloud Data Warehouse (2nd)

Collibra Catalog

Average Rating

8.0

Reviews Sentiment

7.3

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 8.4%, down 12.3% compared to last year.
Collibra Catalog, on the other hand, focuses on Metadata Management, holds 11.8% mindshare, up 9.9% 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

"We use the solution to move data from on-premises to the cloud."

"The security of the agent that is installed on-premises is very good."

"The scalability of the product is impressive."

"The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with."

"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."

"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."

"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."

"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."

More Azure Data Factory pros

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

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

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

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

"Except for data quality, everything is perfect."

"Using lineage and Collibra Catalog has helped me overall improve the trust and transparency regarding data origin and transformation."

More Collibra Catalog pros

Cons

"Lacks a decent UI that would give us a view of the kinds of requests that come in."

"I have not found any real shortcomings within the product."

"Some known bugs and issues with Azure Data Factory could be rectified."

"The pricing model should be more transparent and available online."

"The number of standard adaptors could be extended further."

"Azure Data Factory can improve by having support in the drivers for change data capture."

"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."

"Azure Data Factory uses many resources and has issues with parallel workflows."

More Azure Data Factory cons

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

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

"One of the very key drawbacks is that automation for access provisioning is not available. If I discover a data set or data product in the marketplace and want to access the data, this feature doesn't exist at all."

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

"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."

"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."

"In Collibra Catalog, the main area that has room for improvement is the search functionality. It should be more natural language oriented instead of searching for exact names."

More Collibra Catalog cons

Pricing and Cost Advice

"ADF is cheaper compared to AWS."

"The licensing cost is included in the Synapse."

"The solution is cheap."

"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."

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

"The price is fair."

"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."

"The solution's pricing is competitive."

More Azure Data Factory pricing and cost advice

"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."

"Collibra offers a per-user licensing model."

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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

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?

The pricing for Collibra was good since we did not have many add-ons. However, adding modules like Privacy could become expensive. The value is still greater when considering the cost of customizin...

See all answers

What needs improvement with Collibra Catalog?

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. This can lead to manual ...

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 9% of the time

Snowflake vs Azure Data Factory

Compared 9% of the time

Alteryx Designer vs Azure Data Factory

Compared 6% of the time

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

Compared 6% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 6% of the time

More Azure Data Factory Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs Collibra Catalog

Compared 24% of the time

Palantir Foundry vs Collibra Catalog

Compared 18% of the time

Ab Initio Co>Operating System vs Collibra Catalog

Compared 15% of the time

Talend Data Management Platform vs Collibra Catalog

Compared 14% of the time

Denodo vs Collibra Catalog

Compared 11% of the time

More Collibra Catalog Competitors

Product Reports

Buyer's Guide

Azure Data Factory

June 2025

Download Azure Data Factory product report

Buyer's Guide

Collibra Catalog

June 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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