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, Oracle and others in Data Integration."I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"The function of the solution is great."
"The solution is okay."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"The scalability of the product is impressive."
"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."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"Collibra Catalog's best feature is the data quality checker."
"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 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 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."
"The speed and performance need to be improved."
"There is no built-in pipeline exit activity when encountering an error."
"Lacks in-built streaming data processing."
"The support and the documentation can be improved."
"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."
"The pricing scheme is very complex and difficult to understand."
"Data Factory's cost is too high."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"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."
"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."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Collibra Catalog is ranked 3rd in Metadata Management with 5 reviews. Azure Data Factory is rated 8.0, while Collibra Catalog is rated 7.8. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Collibra Catalog writes "A user-friendly for those who are not technically inclined and useful for cataloging various reports". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Collibra Catalog is most compared with Informatica Enterprise Data Catalog, Ab Initio Co>Operating System, Talend Data Management Platform, Palantir Foundry and Denodo.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
