"It's a robust solution."
"Once you have Infosphere up and running properly, it is stable."
"Offers great flexibility."
"As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."
"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 data integration for data warehousing."
"It is quite useful and powerful."
"The Hierarchical Data Stage is good."
"I have found it to be a very good, stable, and strong product."
"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."
"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."
"The interface needs improvement."
"The response time from support is slow and needs to be improved."
"The setup is extremely difficult."
"It doesn't have any big data connections. It would be good to have them because most of the systems are moving towards big data. There should also be a user-friendly way to interact with the cloud. Its loading process is very slow. It takes a lot of time for around 5 or 6 million records, and we are not able to provide real-time data to the vendors due to this delay. Its performance needs to be improved. It is also like a legacy system. It is not updated much. In higher versions, they only do small changes. We would like to have new features and new technologies."
"It would be useful to provide support for Python, AR, and Java."
"The pricing should be lower."
"Currently lacking virtualization ability."
"I believe that visual data flow management and the transformation function should be improved."
"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."
IBM InfoSphere DataStage is ranked 6th in Data Integration Tools with 8 reviews while Qlik Compose is ranked 37th in Data Integration Tools with 2 reviews. IBM InfoSphere DataStage is rated 7.6, while Qlik Compose is rated 6.0. The top reviewer of IBM InfoSphere DataStage writes "Robust, easy to use, has a simple error logging mechanism, and works very well for huge volumes of data". On the other hand, the top reviewer of Qlik Compose writes "Excellent data integration but needs better scheduling and monitoring features". IBM InfoSphere DataStage is most compared with SSIS, Talend Open Studio, Azure Data Factory, Informatica PowerCenter and AWS Glue, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, Palantir Foundry and SSIS. See our IBM InfoSphere DataStage vs. Qlik Compose report.
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