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."The solution has improved the time it takes to perform tasks related to batch applications."
"IBM is stable and accurate to monitor. It's easy to understand to monitor the data lineage from source to target."
"The Hierarchical Data Stage is good."
"It's a robust solution."
"The most valuable feature of the solution is the ability to incorporate very complex business rules in Data Stage."
"The best feature of IBM InfoSphere DataStage for me was that it was very much user-friendly. The solution didn't require that much raw coding because most of its features were drag and drop, plus it had a large number of functionalities."
"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."
"The user interface is really user-friendly and intuitive."
"This solution can maintain a large volume of data and is flexible to what data it can handle. The performance is very good."
"It would be useful to provide support for Python, AR, and Java."
"We would be happy to see in next versions the ability to return several parameters from jobs. Now, jobs can return just one parameter. If they could return several parameters, that would be great."
"Currently lacking virtualization ability."
"The error messaging needs to be improved."
"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 setup is extremely difficult."
"There could be more customization options for the product."
"Reduced cost would allow more customers to choose the product. It's quite expensive in relation to the cost of other similar solutions."
"There is room for improvement in the pricing."
"The solution could improve by adding more advanced features."
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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