We performed a comparison between Informatica Enterprise Data Catalog and Informatica PowerCenter 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.
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"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."
"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 solution is stable."
"Has a good visual tool for data mapping."
"It has a Data Catalog that uses the Model repository."
"The most valuable feature of Informatica PowerCenter is data transformation and user-friendliness."
"Once you have learned Informatica, it is very easy to use."
"Informatica PowerCenter is very good for integrating a huge amount of data in a very short duration, such as a minute. It is also very easy to use. After you provide the source and the target, mappings are automatically done, which makes it easy to use for the development team."
"What I like the most is that we have to deal with less while writing the queries."
"The interface is very clean and clear."
"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."
"It is not easy to set up and configure the tool."
"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."
"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."
"The real-time database connectivity when getting the real-time data using the VPN is an area that needs improvement."
"Integrating new tools can be tricky and challenging."
"The UI is a little outdated."
"PowerCenter has three clients. I wish they would consolidate everything into one GUI, not three. Also, we had a persistent issue with the Informatica Developer tool but it was solved when we migrated to the newest one."
"Informatica are very rigid when it comes to cloud migrations which discourages customers in moving their solution to the cloud."
"There is some room for improvement in terms of pricing."
"The solution could have better documentation on basic steps or blocks that specify what to do."
"Some of the conversions are done inside the product. We use work tables that are created by the engine itself, but the names of the work tables are very long, and they don't have any meaning, which makes it a bit difficult to understand and follow exactly what is happening inside."
Informatica Enterprise Information Catalog provides a machine-learning-based discovery engine to collect data assets across the enterprise while increasing the understanding of those data assets through a graph-based enterprise information catalog. Powered by Informatica’s unique metadata services engine, Enterprise Information Catalog enables business analysts and data stewards to find all types of data across the enterprise; discover relationships among them; enrich data with business glossary terms and crowdsourced annotations; and understand the provenance, quality, and usage of their data.
Enterprise data integration platform to help organizations access, transform, and integrate data from a variety of systems.
Informatica Enterprise Data Catalog is ranked 3rd in Metadata Management with 4 reviews while Informatica PowerCenter is ranked 1st in Data Integration Tools with 36 reviews. Informatica Enterprise Data Catalog is rated 8.2, while Informatica PowerCenter is rated 7.8. 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 Informatica PowerCenter writes "A stable, scalable, and mature solution for complex transformations and data integration". Informatica Enterprise Data Catalog is most compared with AWS Glue, Collibra Catalog, Denodo, Azure Data Factory and Palantir Foundry, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, AWS Glue and Informatica PowerExchange. See our Informatica Enterprise Data Catalog vs. Informatica PowerCenter report.
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