We performed a comparison between IBM InfoSphere DataStage and IBM InfoSphere Information Server 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 performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"I am impressed with the tool's ETL tracing."
"It works with multiple servers and offers high availability."
"It is quite useful and powerful."
"We are mostly using transmission rules. It has a lot of functions and logic related to transmission. It is a user-friendly tool with in-built functions."
"We can view what we want to do. We can transform data and put them on tables."
"The most valuable feature is the data integration for data warehousing."
"The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable."
"IBM InfoSphere Information Server is stable."
"The integration with different technologies is the most valuable feature."
"Stability-wise, I rate the solution a ten out of ten."
"This solution is extremely flexible and scalable."
"The documentation and in-application help for this solution need to be improved, especially for new features."
"Its documentation is not up to the mark. While building APIs, we had a lot of problems trying to get around it because it is not very user-friendly. We tried to get hold of API documentation, but the documentation is not very well thought out. It should be more structured and elaborate. In terms of additional features, I would like to see good reporting on performance and performance-tuning recommendations that can be based on AI. I would also like to see better data profiling information being reported on InfoSphere."
"In the future, I would like to see more integration with cloud technologies."
"I want the tool to continue with the on-prem version, not the cloud one."
"The template mapping could be easier."
"Currently lacking virtualization ability."
"I really like this tool, but the administration should be on the same client application because a lot of administration features are not on the client-side, and they usually need to have administrative access. It's quite complicated to force IT teams to have separate administrative access from the developers."
"The graphical user interface (GUI) feels a lot like the interfaces from the 1980s."
"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."
"This solution would benefit from the engine being made more lightweight."
"Their technical support needs improvement."
"There are certain shortcomings in the cloud side of the solution, where improvements are required."
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IBM InfoSphere DataStage is ranked 7th in Data Integration with 36 reviews while IBM InfoSphere Information Server is ranked 34th in Data Integration with 7 reviews. IBM InfoSphere DataStage is rated 7.8, while IBM InfoSphere Information Server is rated 8.4. The top reviewer of IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". On the other hand, the top reviewer of IBM InfoSphere Information Server writes "Prompt support, reliable, but lacking scalability". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and AWS Glue, whereas IBM InfoSphere Information Server is most compared with Qlik Replicate, IBM Watson Knowledge Catalog, IBM Cloud Pak for Data, Oracle GoldenGate and IBM InfoSphere Information Governance Catalog. See our IBM InfoSphere DataStage vs. IBM InfoSphere Information Server report.
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