We performed a comparison between Ab Initio Co>Operating System and IBM InfoSphere DataStage 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."Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data."
"Co>Operating System's most valuable feature is its ability to process bulk data effectively."
"IBM is stable and accurate to monitor. It's easy to understand to monitor the data lineage from source to target."
"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 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."
"The concept of integration is a valuable feature of the product."
"Offers great flexibility."
"It's a robust solution."
"The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"The most valuable feature is the ability to transfer information via notes."
"Co>Operating System would be improved with more integrations for less well-known technologies."
"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."
"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."
"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."
"The error messaging needs to be improved."
"The template mapping could be easier."
"The documentation and in-application help for this solution need to be improved, especially for new features."
"Currently lacking virtualization ability."
"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."
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Ab Initio Co>Operating System is ranked 28th in Data Integration with 2 reviews while IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews. Ab Initio Co>Operating System is rated 9.6, while IBM InfoSphere DataStage is rated 7.8. The top reviewer of Ab Initio Co>Operating System writes "Excellent bulk data processing for large enterprises". On the other hand, 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". Ab Initio Co>Operating System is most compared with SSIS, Collibra Catalog, AWS Glue, Azure Data Factory and Oracle Data Integrator (ODI), whereas IBM InfoSphere DataStage is most compared with SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter. See our Ab Initio Co>Operating System vs. IBM InfoSphere DataStage report.
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