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."It is a stable solution."
"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."
"The most valuable features of SAP Data Services lie in its ability to effectively observe and interpret the information within data related to people or facts, stands out."
"You can always manipulate a lot of things as long as you have the skill level."
"The initial setup is not complex."
"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 feature of SAP Data Services has enhanced our company's business processes because we are able to run around 800 jobs in areas like data extraction and transaction objects."
"The BA reporting tools, such as Data Services, and ETL tool in SAP Data Services are the most valuable. When we had in-memory requirements, we used HANA. HANA is most preferably for most the customers for in-memory. SAP is the first company that created the in-memory concept."
"The solution is easy to use since it's a graphical tool. It also requires only low-level coding."
"The fact that it's built on SQL, it makes it easy to write code. The database and the connection are quite smooth."
"The pricing can be improved."
"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 initial setup is not easy."
"It's an ETL that is very good with relational databases but not as good with files and semi-structured files."
"The pricing of the solution should be improved."
"We would like the different tools offered within this solution to be available as standalone entities, rather than having to purchase the entire package when we only require a few features."
"I want some more business intelligence applications. People need to know more and more about data, including the transformation rules, etc. Informatica is a better product for data cataloging. SAP should update the data catalog."
"The description of error messages isn't extensive, although they point to the problem. With other solutions, like Talend, I was able to use the debugger to get directly to the problem, but with SAP Data Services the debugger is not working. I'm not sure if it's a problem with the version specifically, but I'm using it in an enterprise environment and I can't do an upgrade."
"The solution shows a lack of cloud support data services."
"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."
"There needs to be multi-language support, however, my understanding is they are working on multi-language now."
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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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