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."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 maintenance of data services is the solution's most valuable feature."
"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 most valuable feature is the ETL functionality."
"The logic is also simple. It makes it easy to build your extraction."
"The reporting on the data, even from third-party software, is very good."
"The initial setup is not complex."
"I appreciate having access to the SAP data."
"If you compare it to SQL, the memory and development times are very quick."
"This is an established product with powerful data analysis and varied options for user entry points."
"I am impressed with the tool's ability to customize."
"The tool is reliable, quick, and powerful."
"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."
"The product offers very good flexibility."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"The technical support is excellent."
"They could make it easier to work with web services."
"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."
"Data Services SAP is lacking in sources and target databases compared to Informatica. SAP Data Services should have more connectivity."
"The initial setup is complex."
"In the future, Data Services should offer a cloud version."
"With SAP Data Services, the problem arises when I try to connect to Azure Databricks."
"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."
"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."
"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."
"I would like the tool to include the ability to automate the modifications of the integrations."
"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 solution could use better documentation."
"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."
"The solution is quite expensive and hard to install/configure."
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, Palantir Foundry and IBM InfoSphere DataStage.
See our list of best Data Integration vendors and best Data Quality vendors.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.