We performed a comparison between Collibra Catalog and SAP Data Services based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, Alation, Collibra and others in Metadata Management."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."
"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."
"Collibra Catalog's best feature is the data quality checker."
"It's easy to understand and deploy. It's easy to create new applications, and depending on the complexity of the application, it is easy to deploy the new requirements."
"You can always manipulate a lot of things as long as you have the skill level."
"Its integration capabilities and the data migration capabilities are the most valuable. It is very good for SAP and non-SAP tools. It has very good integration with SAP, but it also has the capabilities to connect to other systems. We find it very helpful and stable."
"Data Services' best features are its robustness and plug-and-play integration with other SAP applications."
"I have worked with Data Services for a long time, and currently, I find the dashboarding and reporting part to be the most valuable function."
"The most valuable feature of SAP Data Services is the integration with data sources."
"The user interface is ok."
"We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"I'd like to see more integration with other reporting sources."
"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."
"We encounter challenges while exporting implemented rules, such as those applied to objects like the material master, into a format like Excel for documentation and further analysis."
"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."
"The execution engines and processing engines have shortcomings and need improvements."
"Some of the jobs that are built within Data Services require local files, and during initial deployment, those local files cannot be transported between machines simply because of security issues."
"They could make it easier to work with web services."
"I want some more business intelligence applications. People need to know more and more about data, including the transformation rules, etc. Informatica is a better product for data cataloging. SAP should update the data catalog."
"The pricing of the solution should be improved."
"It's an ETL that is very good with relational databases but not as good with files and semi-structured files."
Collibra Catalog is ranked 3rd in Metadata Management with 5 reviews while SAP Data Services is ranked 10th in Data Integration with 45 reviews. Collibra Catalog is rated 7.8, while SAP Data Services is rated 8.0. The top reviewer of Collibra Catalog writes "A user-friendly for those who are not technically inclined and useful for cataloging various reports". On the other hand, the top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". Collibra Catalog is most compared with Informatica Enterprise Data Catalog, Ab Initio Co>Operating System, Talend Data Management Platform, Palantir Foundry and Denodo, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and Palantir Foundry.
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