We performed a comparison between IBM InfoSphere DataStage and Oracle Big Data SQL based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses."
"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."
"It works with multiple servers and offers high availability."
"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 most valuable feature for our data processing needs is IBM InfoSphere DataStage's capability to handle ETL tasks with large record volumes."
"The solution has improved the time it takes to perform tasks related to batch applications."
"Once you have Infosphere up and running properly, it is stable."
"The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily."
"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."
"What needs improvement in IBM InfoSphere DataStage is its pricing. The pricing for the solution is higher than its competitors, so a lot of the clients my company has worked with prefer other tools over IBM InfoSphere DataStage because of the high price tag. Another area for improvement in the solution stems from a lot of new types of databases, for example, databases in the cloud and big data have become available, and IBM InfoSphere DataStage is working on various connectors for different data sources, but that still isn't up-to-date, meaning that some connectors are missing for modern data sources. The latest version of IBM InfoSphere DataStage also has a complex architecture, so my team faced frequent outages and that should be improved as well."
"The solution can be a bit more user-friendly, similar to Informatica."
"The pricing should be lower."
"Currently lacking virtualization ability."
"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. It is really too technical. That is the main problem."
"The error messaging needs to be improved."
"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."
"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 IBM Cloud Pak for Data, SSIS, 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). See our IBM InfoSphere DataStage vs. Oracle Big Data SQL report.
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