We performed a comparison between Infogix Data360 Analyze 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 drag-and-drop functionality makes it easy for business users."
"Technical support is great. It's one of the reasons we really like them. When you compare support from IBM and support from Informatica, Informatica is much better."
"The most valuable aspects of Informatica PowerCenter are the many features, ease of use, and user-friendliness."
"It is an excellent ETL tool."
"Informatica PowerCenter is a very good ETL tool."
"In the end, you have structured, proper data for use in an integrated BI solution."
"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."
"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."
"The memory processing needs to be improved because when you deal with a large amount of data, the interface tends to hang a little bit."
"Support could be better."
"We had to take on a large volume of data from the legacy Sybase system. This was taking a very long time, i.e., more than a day. We were trying to improve it with partitions to gpload, but we were told that we can't go more than four partitions."
"I would like to see an improvement in the digital adoption."
"This solution needs the functionality to do batch processing of data. It also lacks connectivity to NoSQL, unstructured data sources."
"The performance of Informatica PowerCenter could improve."
"There is a need to buy a separate license if one wishes to connect with some kind of SAP system, such as SalesForce."
"PowerCenter could be improved by having more big data components. Normally, we prefer Informatica as a relational database, but nowadays, companies are trying to understand and use big data components. I think it would be useful if we had more chances to create a hub ecosystem because customers try to use some data integration tasks by SQL, Spark and Spark codes, and Scala, but at the end of the day, the company will understand that we need to trace all the steps. An ETL tool is a must for that company, if we're talking about the regulated industries like finance, telcos, etc. If Informatica's biggest ecosystems feature were okay, I would prefer to use it."
"The UI is a little outdated."
Earn 20 points
Infogix Data360 Analyze is ranked 52nd in Data Integration while Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews. Infogix Data360 Analyze is rated 7.0, while Informatica PowerCenter is rated 8.0. The top reviewer of Infogix Data360 Analyze writes "Easy drag-and-drop interface and supports custom Python functions, but the performance needs to be better". 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". Infogix Data360 Analyze is most compared with Alteryx Designer and Azure Data Factory, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue.
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