We performed a comparison between IBM InfoSphere DataStage and SAP Data Services based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The concept of integration is a valuable feature of the product."
"As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."
"The product is easy to deploy."
"The data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need."
"The most valuable feature is the ability to transfer information via notes."
"In IBM DataStage, the Transformer is the most valuable feature for me. It enables me to apply complex transformations, generate the gateway key, and map source tables into the session table."
"We are mostly using transmission rules. It has a lot of functions and logic related to transmission. It is a user-friendly tool with in-built functions."
"The most valuable feature is the product's versatility to inject data."
"The maintenance of data services is the solution's most valuable feature."
"Data Services' best features are its robustness and plug-and-play integration with other SAP applications."
"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."
"The API tool in this product is very valuable; it is very easy to onboard and use."
"I appreciate having access to the SAP data."
"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 HANA database, which is very fast, is a valuable feature."
"The user interface is ok."
"The initial setup can be complex."
"In the future, I would like to see more integration with cloud technologies."
"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."
"The response time from support is slow and needs to be improved."
"There are three things that could improve - the cloud, monitoring and cloud integration. It's a solid product but not a modern one and of course it depends what you're looking for."
"Currently lacking virtualization ability."
"The interface needs improvement."
"The pricing should be lower."
"There needs to be multi-language support, however, my understanding is they are working on multi-language now."
"The solution could improve the overall features. There is a lot that can be done in the solution, therefor there are areas where it can improve. Additionally, there is a need to make it easier for one to create connections to other non-SAP systems. The flexibility to connect to other non-SAP systems is needed."
"The solution should offer more machine learning and automation."
"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."
"Scheduling of jobs in the sequence is not available. It's a very tedious process to do that particular task. If there was a tool to schedule in the sequence that would be extremely helpful."
"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."
"The migration of the solution between different environments is quite complex."
"Data Services SAP is lacking in sources and target databases compared to Informatica. SAP Data Services should have more connectivity."
IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while SAP Data Services is ranked 10th in Data Integration with 45 reviews. IBM InfoSphere DataStage is rated 7.8, while SAP Data Services is rated 8.0. 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". On the other hand, the top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Matillion ETL, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and Informatica Cloud Data Integration. See our IBM InfoSphere DataStage vs. SAP Data Services report.
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