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."ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"We use the solution to move data from on-premises to the cloud."
"The trigger scheduling options are decently robust."
"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"The scalability of the product is impressive."
"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."
"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."
"We have had no complaints about the stability."
"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 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 performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"The number of standard adaptors could be extended further."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"I'd like to see more integration with other reporting sources."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of 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 5th 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 Microsoft Azure Synapse Analytics, whereas Collibra Catalog is most compared with Informatica Enterprise Data Catalog, Ab Initio Co>Operating System, Talend Data Management Platform, Palantir Foundry and Denodo.
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