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 Metadata Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The product seems stable enough."
"The way that the solution scans is very useful."
"The solution scales well."
"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."
"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."
"I rate the technical support a ten out of ten."
"The metadata management of Informatica is great."
"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."
"The interface is very clean and clear."
"Informatica PowerCenter has good user feedback. The developers can easily make mappings in the solution."
"The technical support for Informatica PowerCenter is good."
"It's a complete package, which is why we use this solution."
"The most valuable features of Informatica PowerCenter are the ease of use, and development, and is simple to find resources."
"Informatica PowerCenter is a very good ETL tool."
"The reliability of the product and the way of orchestration of different services is valuable to us."
"It is not easy to set up and configure the tool."
"IEDC can improve the comparison of lineages."
"The solution is quite expensive."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"Currently, there are limitations in processing and the interface."
"The scalability is tough."
"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 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."
"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."
"The multiple interfaces in Informatica PowerCenter are not great for the user experience. Because of this, I think it can cause confusion for any beginner developer."
"We need another tool for monitoring. It would be easier if all the features were consolidated into one tool."
"It would be nice to have all tools in one place. CDC needs more effort, as it's only easy to develop if you are familiar with Linux."
"The solution does not scale."
"The licensing is difficult."
"The solution could have better documentation on basic steps or blocks that specify what to do."
"Areas for improvement in Informatica PowerCenter include scalability and high availability or the clustering configuration because that's still very basic. The elasticity or scaling of the platform needs a lot of improvement. For example, when it comes to DR handling or building an active-active or active-passive cluster, Informatica PowerCenter is still not that powerful. Automation also needs improvement in the solution. Improving automation leads to some improvement in the stability of Informatica PowerCenter and other aspects related to it. What I'd like to see in the next release of Informatica PowerCenter is real-time capability because the solution is mainly for patches, and to have real-time integration, you need to count on some additional components from Informatica. I would expect more integration and a complete platform in terms of real-time capability or patching with minimal interventions or minimal components to be aligned together."
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Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews while Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews. Informatica Enterprise Data Catalog is rated 7.6, while Informatica PowerCenter is rated 8.0. 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 Informatica PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Denodo and Palantir Foundry, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue. See our Informatica Enterprise Data Catalog vs. Informatica PowerCenter report.
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