We performed a comparison between Informatica Enterprise Data Catalog and SAP Data Services based on real PeerSpot user reviews.
Find out in this report how the two Metadata Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."We can scan anything."
"The way that the solution scans is very useful."
"The most valuable feature of Informatica Enterprise Data Catalog is it provides clients with a full view of the enterprise data assets. For example, how many data assets they have and who owns them."
"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."
"The metadata management of Informatica is great."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"The product seems stable enough."
"The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best."
"The logic is also simple. It makes it easy to build your extraction."
"The solution is easy to use since it's a graphical tool. It also requires only low-level coding."
"We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level."
"The most valuable feature is the logging capability."
"The most valuable feature is the ETL functionality."
"The product's most valuable features are data validation and rules."
"The most valuable feature of SAP Data Services is the integration with data sources."
"The BA reporting tools, such as Data Services, and ETL tool in SAP Data Services are the most valuable. When we had in-memory requirements, we used HANA. HANA is most preferably for most the customers for in-memory. SAP is the first company that created the in-memory concept."
"It is not easy to set up and configure the tool."
"The solution is quite expensive."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities."
"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."
"The scalability is tough."
"The model is somewhat flexible. There are certain aspects of the model that are not as flexible as we would like. It doesn't do certain things to a great level of depth. So, in situations where we want to drill in to do something specific, we have to essentially copy that data into our own structures in order to add that additional layer of flexibility."
"This solution is hard to set up and its interface is not user-friendly. It's also not as stable, and the technical support takes a lot of time to solve simple problems."
"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."
"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."
"The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster."
"Scheduling of jobs in the sequence is not available. It's a very tedious process to do that particular task. If there was a tool to schedule in the sequence that would be extremely helpful."
"The solution could improve the overall features. There is a lot that can be done in the solution, therefor there are areas where it can improve. Additionally, there is a need to make it easier for one to create connections to other non-SAP systems. The flexibility to connect to other non-SAP systems is needed."
"They could make it easier to work with web services."
"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."
"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."
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Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 9 reviews while SAP Data Services is ranked 10th in Data Integration with 15 reviews. Informatica Enterprise Data Catalog is rated 7.4, while SAP Data Services is rated 8.0. The top reviewer of Informatica Enterprise Data Catalog writes "An enterprise-scale solution with a pretty robust set of tools for scanning a variety of information sources". On the other hand, the top reviewer of SAP Data Services writes "Easy to use, simple to implement, and offers very good mapping capabilities". Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and Denodo, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SSIS and Palantir Foundry. See our Informatica Enterprise Data Catalog vs. SAP Data Services report.
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