We performed a comparison between Informatica Enterprise Data Catalog and Oracle Big Data SQL based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The product seems stable enough."
"The solution scales well."
"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 most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."
"We can scan anything."
"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."
"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 user interface is really user-friendly and intuitive."
"This solution can maintain a large volume of data and is flexible to what data it can handle. The performance is very good."
"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."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"IEDC can improve the comparison of lineages."
"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."
"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."
"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."
"The solution could improve by adding more advanced features."
"There is room for improvement in the pricing."
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Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews while Oracle Big Data SQL is ranked 17th in Cloud Data Integration with 2 reviews. Informatica Enterprise Data Catalog is rated 7.6, while Oracle Big Data SQL is rated 8.6. The top reviewer of Informatica Enterprise Data Catalog writes "They listen to their customers, so if something is missing or not working, they will put it on their roadmap". On the other hand, the top reviewer of Oracle Big Data SQL writes "Offers good scalability, strong stability and seamless integration ". Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and Denodo, whereas Oracle Big Data SQL is most compared with Palantir Foundry and Oracle Data Integrator (ODI). See our Informatica Enterprise Data Catalog vs. Oracle Big Data SQL report.
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