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."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."
"The most valuable feature is the product's versatility to inject data."
"Compared to other ETL tools, DataStage has excellent debugging and development capabilities. And the availability of connectors, even though we sometimes have to opt for specific ones. Also, the availability of patches is good."
"When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses."
"Once you have Infosphere up and running properly, it is stable."
"It is quite useful and powerful."
"The data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need."
"DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too."
"This solution is extremely flexible and scalable."
"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."
"The initial setup could be more straightforward."
"It would be great if they can include some basic version of data quality checking features."
"The troubleshooting guide is very bad."
"There are three things that could improve - the cloud, monitoring and cloud integration. It's a solid product but not a modern one and of course it depends what you're looking for."
"The template mapping could be easier."
"The error messaging needs to be improved."
"The interface needs improvement."
"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."
"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."
"Their technical support needs improvement."
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IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while IBM InfoSphere Information Server is ranked 36th 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 SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Oracle Data Integrator (ODI), 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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