We performed a comparison between Informatica PowerCenter and Magic xpi Integration Platform based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."It provides everything I need. Nothing is missing. PowerCenter is a good tool for on-premise databases."
"The most valuable features are the monitoring tools and the reporting manager."
"It's a very powerful tool you can use to load data, get data, do the drawing between the tables, and put into the packet in a very fast way."
"The most valuable aspects of Informatica PowerCenter are the many features, ease of use, and user-friendliness."
"The most complex task, in this case, was to read and transform BLOB data, and Java transformation in Informatica Power Center was a great solution."
"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 product's initial setup phase is very easy."
"Good interface, reasonable documentation."
"The stability of the solution is OK."
"Informatica PowerCenter could improve on the documentation for the implementation. The documents provided are not very good for a new user."
"The reputation of Informatica is that it is expensive."
"If we could have the option of performance improvement within Informatica, and if it could have more features, that would be ideal."
"What I didn't like about it is that the platform itself is not great at distributed processing. When you need high parallel processing, it has some inherent issues. We had to use Java transformation, and it did not go very well. I have heard that it is going to the cloud, but we haven't tried that."
"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."
"I would like to see an improvement in the digital adoption."
"Its licensing can be improved. It should be features-wise and not bundle-wise. A bundle will definitely be costly. In addition, we might use one or two features. That's why the pricing model should be based on the features. The model should be flexible enough based on the features. Their support should also be more responsive to premium customers."
"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."
"It is not performing well."
Earn 20 points
Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews while Magic xpi Integration Platform is ranked 24th in Integration Platform as a Service (iPaaS). Informatica PowerCenter is rated 8.0, while Magic xpi Integration Platform is rated 3.0. 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". On the other hand, the top reviewer of Magic xpi Integration Platform writes "A low-performing integration tool". Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue, whereas Magic xpi Integration Platform is most compared with Mule ESB.
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