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."Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"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."
"The most valuable feature of SAP Data Services is the integration with data sources."
"The most valuable feature is the logging capability."
"The basic functionality is quite good as is the basic logic and data information."
"The logic is also simple. It makes it easy to build your extraction."
"I like how SAP Data Services links reporting and data integration. That's what's most interesting. You also have the opportunity to leverage the power of the Data Services server."
"Its integration capabilities and the data migration capabilities are the most valuable. It is very good for SAP and non-SAP tools. It has very good integration with SAP, but it also has the capabilities to connect to other systems. We find it very helpful and stable."
"The reporting on the data, even from third-party software, is very good."
"You can always manipulate a lot of things as long as you have the skill level."
"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 solution should offer more machine learning and automation."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"There should be some kind of enhancement that can be done on the admin side of certain sites where we can assign the roles and responsibilities. We should be able to control who is using the tool and how."
"The initial setup is complex."
"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."
"The pricing of the solution should be improved."
"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 execution engines and processing engines have shortcomings and need improvements."
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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, Microsoft Azure API Management 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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