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."Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar."
"The product seems stable enough."
"The way that the solution scans is very useful."
"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 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 metadata management of Informatica is great."
"We can scan anything."
"The API tool in this product is very valuable; it is very easy to onboard and use."
"The maintenance of data services is the solution's most valuable feature."
"The logic is also simple. It makes it easy to build your extraction."
"The reporting on the data, even from third-party software, is very good."
"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."
"Technical support from SAP is awesome. If we have an issue, they give a good solution."
"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."
"The solution offers very good integration capabilities."
"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."
"Currently, there are limitations in processing and the interface."
"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."
"IEDC can improve the comparison of lineages."
"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."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"It is not easy to set up and configure the tool."
"Integration with other products could be improved."
"It would be nice if this solution was a bit easier to move from development to production."
"The execution engines and processing engines have shortcomings and need improvements."
"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."
"There needs to be multi-language support, however, my understanding is they are working on multi-language now."
"With SAP Data Services, the problem arises when I try to connect to Azure Databricks."
"The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster."
"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."
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Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews while SAP Data Services is ranked 10th in Data Integration with 45 reviews. Informatica Enterprise Data Catalog is rated 7.6, while SAP Data Services is rated 8.0. The top reviewer of Informatica Enterprise Data Catalog writes "Great metadata management with more visibility and great technical support". On the other hand, the top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". 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, SAP Process Orchestration and Palantir Foundry. See our Informatica Enterprise Data Catalog vs. SAP Data Services report.
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