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."It is quite useful and powerful."
"DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too."
"The most valuable feature is the ability to transfer information via notes."
"The product is easy to deploy."
"We can view what we want to do. We can transform data and put them on tables."
"The Hierarchical Data Stage is good."
"I am impressed with the tool's ETL tracing."
"Finding logs is very easy on the solution."
"The most valuable feature is the ETL functionality."
"The basic functionality is quite good as is the basic logic and data information."
"Data Services' best features are its robustness and plug-and-play integration with other SAP applications."
"The reporting on the data, even from third-party software, is very good."
"We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level."
"Data Services' table comparison mechanism is very powerful. It's pretty hard to find a similar feature in other solutions."
"The HANA database, which is very fast, is a valuable feature."
"It is a powerful product with a broad range of features."
"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."
"The initial setup could be more straightforward."
"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."
"The interface needs improvement. It is really too technical. That is the main problem."
"Working with some of the big data components is good, but I can see improvements are needed."
"In terms of intermediate storage, we have some challenges, especially with customers who store data in intermediate locations."
"Their web interface is good but the on-prem sites are outdated. The solution could also be improved if they could integrate the data pipeline scheduling part of their interface."
"Its documentation is not up to the mark. While building APIs, we had a lot of problems trying to get around it because it is not very user-friendly. We tried to get hold of API documentation, but the documentation is not very well thought out. It should be more structured and elaborate. In terms of additional features, I would like to see good reporting on performance and performance-tuning recommendations that can be based on AI. I would also like to see better data profiling information being reported on InfoSphere."
"The solution shows a lack of cloud support data services."
"The solution should offer more machine learning and automation."
"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."
"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."
"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."
"Some of the jobs that are built within Data Services require local files, and during initial deployment, those local files cannot be transported between machines simply because of security issues."
"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."
"It's an ETL that is very good with relational databases but not as good with files and semi-structured files."
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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