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."It is a stable solution."
"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."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"It's a robust solution."
"Finding logs is very easy on the solution."
"The solution is stable."
"Once you have Infosphere up and running properly, it is stable."
"I am impressed with the tool's ETL tracing."
"The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable."
"The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed."
"The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily."
"Its queuing and messaging features need improvement."
"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 initial setup is not easy."
"The pricing can be improved."
"The interface needs improvement. It is really too technical. That is the main problem."
"The graphical user interface (GUI) feels a lot like the interfaces from the 1980s."
"The interface needs work to be more user-friendly."
"The setup is extremely difficult."
"The solution should be more user-friendly."
"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."
"So, there are some features that are missing. If I compare DataStage to Talend, Talend allows you to write custom code in Java or use these tools in your applications as well if you are building a job application. But in DataStage, it does not allow you to write custom code for any component."
"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."
More IBM Cloud Pak for Integration Pricing and Cost Advice →
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.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.