We performed a comparison between IBM InfoSphere DataStage and Oracle Big Data SQL based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration."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."
"The most valuable feature is the data integration for data warehousing."
"The most valuable feature is the ability to transfer information via notes."
"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."
"The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable."
"It's a robust solution."
"Once you have Infosphere up and running properly, it is stable."
"Finding logs is very easy on the solution."
"This solution can maintain a large volume of data and is flexible to what data it can handle. The performance is very good."
"The user interface is really user-friendly and intuitive."
"The error messaging needs to be improved."
"The graphical user interface (GUI) feels a lot like the interfaces from the 1980s."
"Improvements for DataStage could include better integration with modern data sources like cloud solutions and documents, along with enhancing its capability to handle non-structured data."
"The interface needs work to be more user-friendly."
"It takes a lot of time to actually trigger your job and then go into the logs and other stuff. So all of this is really time-consuming."
"I want the tool to continue with the on-prem version, not the cloud one."
"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."
"I'd like to be able to do more with the data and metadata, including copy and pasting, et cetera."
"The solution could improve by adding more advanced features."
"There is room for improvement in the pricing."
IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while Oracle Big Data SQL is ranked 17th in Cloud Data Integration with 2 reviews. IBM InfoSphere DataStage is rated 7.8, while Oracle Big Data SQL is rated 8.6. 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 Oracle Big Data SQL writes "Offers good scalability, strong stability and seamless integration ". IBM InfoSphere DataStage is most compared with SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas Oracle Big Data SQL is most compared with Palantir Foundry and Oracle Data Integrator (ODI).
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