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."
"The most valuable feature is the ability to transfer information via notes."
"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 concept of integration is a valuable feature of the product."
"The Hierarchical Data Stage is good."
"The solution is very easy to use."
"The most valuable feature is the data integration for data warehousing."
"The most valuable feature is the product's versatility to inject data."
"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."
"The graphical user interface (GUI) feels a lot like the interfaces from the 1980s."
"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."
"The template mapping could be easier."
"It would be great if they can include some basic version of data quality checking features."
"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."
"Reduced cost would allow more customers to choose the product. It's quite expensive in relation to the cost of other similar solutions."
"I want the tool to continue with the on-prem version, not the cloud one."
"The solution can be a bit more user-friendly, similar to Informatica."
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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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