We performed a comparison between IBM InfoSphere Information Server and Informatica PowerCenter based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The integration with different technologies is the most valuable feature."
"This solution is extremely flexible and scalable."
"Stability-wise, I rate the solution a ten out of ten."
"IBM InfoSphere Information Server is stable."
"Enterprise-scale ETL solution that's very stable and is easy to scale. It integrates and connects with multiple new systems, both structured and semi-structured."
"The product's initial setup phase is very easy."
"In the end, you have structured, proper data for use in an integrated BI solution."
"Technical support, and their approach is good. They have a support portal and support tickets. If you open a ticket it has multiple levels of severity from level one to very high or critical."
"The most valuable feature of Informatica PowerCenter is the flow designer functionally. It is the best out of any ETL tool. Additionally, the solution is reliable and trustable in dealing with large data sources anytime. When we're using billions of data transactions, it's smooth."
"It is easy to use, and it is quick for developing things. It is fairly powerful, and it can integrate with a lot of different platforms without much hassle."
"Ease and speed of building integrations, especially integrations between different applications, such as our Hospital Information System."
"The ability to scale through partitions helped us to improve the performance."
"Their technical support needs improvement."
"IBM InfoSphere Information Server should be more scalable. It should have the option to change the configuration to run on a single, non-multiple node, or multi-threading processing."
"There are certain shortcomings in the cloud side of the solution, where improvements are required."
"This solution would benefit from the engine being made more lightweight."
"The developer tool documentation can be enhanced with a more clear explanation of each utility, accompanied by relevant examples, so that developers are able to create programs with ease."
"The solution does not scale."
"I would like to see an improvement in the digital adoption."
"The licensing is difficult."
"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."
"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."
"Compared to solutions offering similar functionalities, Informatica PowerCenter is not very flexible regarding customized integrations."
"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."
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IBM InfoSphere Information Server is ranked 36th in Data Integration with 7 reviews while Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews. IBM InfoSphere Information Server is rated 8.4, while Informatica PowerCenter is rated 8.0. The top reviewer of IBM InfoSphere Information Server writes "Prompt support, reliable, but lacking scalability". 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". IBM InfoSphere Information Server is most compared with IBM InfoSphere DataStage, Qlik Replicate, IBM Watson Knowledge Catalog, IBM Cloud Pak for Data and Oracle GoldenGate, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue. See our IBM InfoSphere Information Server vs. Informatica PowerCenter report.
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