We performed a comparison between IBM Cloud Pak for Integration and IBM InfoSphere DataStage 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."The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."
"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"It is a stable solution."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"The product is easy to deploy."
"It works with multiple servers and offers high availability."
"The solution is stable."
"We like the flexibility of modeling."
"The solution has improved the time it takes to perform tasks related to batch applications."
"The most valuable feature is the ability to transfer information via notes."
"Once you have Infosphere up and running properly, it is stable."
"The most valuable feature is the product's versatility to inject data."
"Its queuing and messaging features need improvement."
"The initial setup is not easy."
"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."
"The pricing can be improved."
"Their web interface is good but the on-prem sites are outdated. The solution could also be improved if they could integrate the data pipeline scheduling part of their interface."
"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 setup is extremely difficult."
"The solution should be more user-friendly."
"The documentation and in-application help for this solution need to be improved, especially for new features."
"It would be great if they can include some basic version of data quality checking features."
"I want the tool to continue with the on-prem version, not the cloud one."
"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."
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IBM Cloud Pak for Integration is ranked 14th in Cloud Data Integration with 4 reviews while IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews. IBM Cloud Pak for Integration is rated 8.6, while IBM InfoSphere DataStage is rated 7.8. The top reviewer of IBM Cloud Pak for Integration writes "A hybrid integration platform that applies the functionality of closed-loop AI automation". 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". IBM Cloud Pak for Integration is most compared with IBM App Connect, IBM API Connect, IBM DataPower Gateway, MuleSoft Anypoint API Manager and Confluent, 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 IBM Cloud Pak for Integration vs. IBM InfoSphere DataStage report.
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