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 5.2% mindshare in the category. Collibra is ranked #3 in MM , with an average rating of 8.0, and holds a 10.7% 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 92 Azure Data Factory reviews

13,131 Views
9,192 Comparison Views

92% willing to recommend

Collibra Catalog

Read 11 Collibra Catalog reviews

1,405 Views
646 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

September 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 (2nd)

Collibra Catalog

Average Rating

8.0

Reviews Sentiment

5.3

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 5.2%, down 11.0% compared to last year.
Collibra Catalog, on the other hand, focuses on Metadata Management, holds 10.7% mindshare, down 11.0% since last year.

Data Integration Market Share Distribution
Product	Market Share (%)
Azure Data Factory	5.2%
Informatica PowerCenter	6.0%
SSIS	5.7%
Other	83.1%

Data Integration

Metadata Management Market Share Distribution
Product	Market Share (%)
Collibra Catalog	10.7%
Informatica Intelligent Data Management Cloud (IDMC)	20.0%
Alation Data Catalog	14.9%
Other	54.4%

Metadata Management

Featured Reviews

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

Integrates diverse data sources and streamlines ETL processes effectively

Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.

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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

"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."

"The initial setup is very quick and easy."

"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."

"We have been using drivers to connect to various data sets and consume data."

"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."

"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."

"Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness."

"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."

More Azure Data Factory pros

"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."

"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."

"Gartner identifies Collibra Catalog as the leader, which aligns with our observations."

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

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

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

More Collibra Catalog pros

Cons

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

"Data Factory could be improved in terms of data transformations by adding more metadata extractions."

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

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

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

"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."

"The Microsoft documentation is too complicated."

"There is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration."

More Azure Data Factory cons

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

"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."

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

"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."

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

More Collibra Catalog cons

Pricing and Cost Advice

"The solution is cheap."

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

"Pricing is comparable, it's somewhere in the middle."

"This is a cost-effective solution."

"Our licensing fees are approximately 15,000 ($150 USD) per month."

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

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

"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."

"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

13%

Computer Software Company

12%

Manufacturing Company

Government

Financial Services Firm

29%

Manufacturing Company

Government

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
Large Enterprise	55

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	9

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 not under my purview as I am an architect. The platform team handles the licensing aspects.

See all answers

What needs improvement with Collibra Catalog?

I have utilized the sophisticated search capability in Collibra Catalog, and it can be improved by implementing more natural language search capabilities. Currently, we need to enter the asset name...

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 8% of the time

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

Compared 6% of the time

Informatica PowerCenter vs Azure Data Factory

Compared 6% of the time

FME vs Azure Data Factory

Compared 5% of the time

Palantir Foundry vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

Palantir Foundry vs Collibra Catalog

Compared 21% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Collibra Catalog

Compared 19% of the time

Ab Initio Co>Operating System vs Collibra Catalog

Compared 12% of the time

Talend Data Management Platform vs Collibra Catalog

Compared 9% of the time

IBM InfoSphere Information Governance Catalog vs Collibra Catalog

Compared 9% of the time

More Collibra Catalog Competitors

Product Reports

Buyer's Guide

Azure Data Factory

October 2025

Download Azure Data Factory product report

Buyer's Guide

Collibra Catalog

October 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: September 2025.

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