We performed a comparison between SAP Data Services and SAS Data Management 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 most valuable feature is the ETL functionality."
"The initial setup is not complex."
"The API tool in this product is very valuable; it is very easy to onboard and use."
"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 solution offers very good integration capabilities."
"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."
"The solution is easy to use since it's a graphical tool. It also requires only low-level coding."
"I am impressed with the tool's ability to customize."
"If you compare it to SQL, the memory and development times are very quick."
"The technical support is excellent."
"The tool is reliable, quick, and powerful."
"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 product offers very good flexibility."
"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."
"This is an established product with powerful data analysis and varied options for user entry points."
"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."
"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."
"They could make it easier to work with web services."
"In the future, Data Services should offer a cloud version."
"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."
"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."
"There needs to be multi-language support, however, my understanding is they are working on multi-language now."
"The solution shows a lack of cloud support data services."
"The solution could use better documentation."
"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."
"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."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"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 is quite expensive and hard to install/configure."
"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 Data Governance, SSIS and IBM InfoSphere DataStage. See our SAP Data Services vs. SAS Data Management report.
See our list of best Data Integration vendors and best Data Quality vendors.
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