We performed a comparison between IBM Cloud Pak for Integration and SAP Data Services 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 valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"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."
"It is a stable solution."
"The most valuable feature is the ETL functionality."
"The maintenance of data services is the solution's most valuable feature."
"It's easy to understand and deploy. It's easy to create new applications, and depending on the complexity of the application, it is easy to deploy the new requirements."
"Data Services' table comparison mechanism is very powerful. It's pretty hard to find a similar feature in other solutions."
"We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level."
"The reporting on the data, even from third-party software, is very good."
"Data Services' best features are its robustness and plug-and-play integration with other SAP applications."
"The API tool in this product is very valuable; it is very easy to onboard and use."
"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."
"Its queuing and messaging features need improvement."
"The pricing can be improved."
"The pricing of the solution should be improved."
"Integration with other products could be improved."
"The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster."
"There needs to be multi-language support, however, my understanding is they are working on multi-language now."
"We encounter challenges while exporting implemented rules, such as those applied to objects like the material master, into a format like Excel for documentation and further analysis."
"The initial setup is complex."
"The solution should offer more machine learning and automation."
"It's an ETL that is very good with relational databases but not as good with files and semi-structured files."
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IBM Cloud Pak for Integration is ranked 14th in Cloud Data Integration with 4 reviews while SAP Data Services is ranked 10th in Data Integration with 45 reviews. IBM Cloud Pak for Integration is rated 8.6, while SAP Data Services is rated 8.0. 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 SAP Data Services writes "Responsive support, scalable, and beneficial integration". IBM Cloud Pak for Integration is most compared with IBM App Connect, IBM API Connect, IBM DataPower Gateway, MuleSoft Anypoint API Manager and IBM InfoSphere DataStage, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and Palantir Foundry. See our IBM Cloud Pak for Integration vs. SAP Data Services report.
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