We performed a comparison between SAP Data Services and SAS Data Management based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The maintenance of data services is the solution's most valuable feature."
"The reporting on the data, even from third-party software, is very good."
"The user interface is ok."
"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."
"It is a powerful product with a broad range of features."
"The initial setup is not complex."
"The solution offers very good integration capabilities."
"If you compare it to SQL, the memory and development times are very quick."
"The tool is reliable, quick, and powerful."
"I am impressed with the tool's ability to customize."
"The product offers very good flexibility."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"This is an established product with powerful data analysis and varied options for user entry points."
"The technical support is excellent."
"The execution engines and processing engines have shortcomings and need improvements."
"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."
"The initial setup is complex."
"It would be nice if this solution was a bit easier to move from development to production."
"The interface is not quite user-friendly and is in need of improvement."
"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."
"There needs to be multi-language support, however, my understanding is they are working on multi-language now."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"The solution is quite expensive and hard to install/configure."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"The solution could use better documentation."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"I would like the tool to include the ability to automate the modifications of the integrations."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."
SAP Data Services is ranked 10th in Data Integration with 45 reviews while SAS Data Management is ranked 43rd in Data Integration with 15 reviews. SAP Data Services is rated 8.0, while SAS Data Management is rated 8.4. The top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". On the other hand, the top reviewer of SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and Palantir Foundry, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview, IBM InfoSphere DataStage and Palantir Foundry.
See our list of best Data Integration vendors and best Data Quality vendors.
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