We performed a comparison between Informatica Enterprise Data Lake and Informatica PowerCenter based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The process of using the tool's scalability option is well documented."
"It provides monitoring and we can therefore be aware of what is happening when we are handling jobs."
"The features I find most valuable is that the solution is very user-friendly and the graphical design is very easy to understand."
"One of the most valuable features for us is the metadata repository because it can easily understand the lineage of first target mapping. My company and I also find Informatica really easy to use—when a consultant joins our company, in just a few days to a few weeks, they can understand how to use it—so we prefer to use this ETL tool."
"Easy, scalable, robust platform to integrate heterogeneous source platform's data into the unified data warehouse."
"We have found the PowerCenter and B2B data transformation most valuable."
"It provides everything I need. Nothing is missing. PowerCenter is a good tool for on-premise databases."
"Complex transformations can be easily achieved by using PowerCenter. The processing layer does transformations and other things. About 80% of my transformations can be achieved by using the middle layer. For the remaining 15% to 20% transformations, I can go in and create stored procedures in the respective databases. Mapplets is the feature through which we can reuse transformations across pipelines. Transformations and caching are the key features that we have been using frequently. Informatica PowerCenter is one of the best solutions or products in the data integration space. We have extensively used PowerCenter for integration purposes. We usually look at the best bridge solution in our architecture so that it can sustain for maybe a couple of years. Usually, we go with the solution that fits best and has proven and time-tested technology."
"Informatica PowerCenter has good user feedback. The developers can easily make mappings in the solution."
"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."
"Informatica PowerCenter could improve on the documentation for the implementation. The documents provided are not very good for a new user."
"They should release new versions for the solution's on-premises setup."
"The real-time database connectivity when getting the real-time data using the VPN is an area that needs improvement."
"PowerCenter could integrate better with cloud applications. We had to do a lot of configuration work using API integrations to connect with cloud applications. Informatica Cloud Data Integration has a generic connector that you can use directly, so it's much easier."
"Informatica PowerCenter could improve by having a single interface because half of the system is still in the legacy interface and many other elements are moved to the developer client. It would be good if there was a single interface for the end user and developers."
"It should be more cloud-centric than on-prem-centric."
"An issue which should be addressed is that the solution only allows us to do structured, as opposed to unstructured, data processing."
"I would like to see it be able to import data from NoSQL."
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Informatica Enterprise Data Lake is ranked 41st in Data Integration with 1 review while Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews. Informatica Enterprise Data Lake is rated 7.0, while Informatica PowerCenter is rated 8.0. The top reviewer of Informatica Enterprise Data Lake writes "A scalable tool that needs a lot of maintenance due to its unstable nature". On the other hand, the top reviewer of Informatica PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". Informatica Enterprise Data Lake is most compared with Palantir Foundry, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue.
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