

SAP Data Services and SAS Data Management are leading tools in the data management software category. SAP Data Services has a slight advantage due to its seamless integration with SAP systems and superior data quality management capabilities.
Features: SAP Data Services offers seamless integration with various data sources, extensive ETL functionalities, and high scalability. Its reliable data extraction and transformation, robust SQL-generation, and logging capabilities stand out. SAS Data Management is known for data reliability, standardization, and expansive ETL features. It handles data governance and metadata management effectively, with high ease of use for comprehensive data analysis.
Room for Improvement: SAP Data Services needs improved scheduling, better integration with non-SAP systems, and dynamic processing capabilities. Enhancements in documentation and support are also suggested. SAS Data Management could improve cost-effectiveness, flexibility, and compatibility with non-SQL databases. Usability enhancements and reduced licensing complexity are recommended.
Ease of Deployment and Customer Service: Both products predominantly deploy on-premises. SAP Data Services provides some cloud options and generally responsive support, though delays occur unless high priority is marked. It has varying support levels with different response times. SAS offers proactive technical support for new features, but users suggest better turnaround times. SAP's support levels may cause delays, while SAS's cloud adaptability is limited.
Pricing and ROI: SAP Data Services is considered expensive for SMEs, offering competitive enterprise-grade features. A usage-based pricing model may be more economical for some, with high ROI through time savings and robust integration. SAS Data Management is also expensive, aligning with enterprise solutions and providing good value for robust data management features. Both solutions show significant ROI through operational efficiencies and strategic integration.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
Reliable data plus less human intervention and less error result in a strong return on investment.
If you keep a high priority issue, such as a production impact, they certainly come and address it in no time.
Unlike level one where they basically search for the notes and provide responses, level two and level three are much better.
The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
If I were to rate it from one to 10, I would say it has a nine to 10 for scalability.
I would rate the stability of SAP Data Services as very stable, a ten.
Now, they are coming up with many pricing options, which is tricky; they offer one thing for free, but charge for nine others.
SAP Data Services does handle integration with third-party systems.
The documentation is not up to the mark.
SAS Data Management can be improved in terms of the learning curve.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
From my experience, SAS Data Management is an expensive tool.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
It remains a fast data-moving tool, faster than most new ones.
SAP Data Services is mainly used for extraction of data, and it works with all databases.
SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool.
| Product | Mindshare (%) |
|---|---|
| SAP Data Services | 1.5% |
| SAS Data Management | 1.2% |
| Other | 97.3% |


| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 5 |
| Large Enterprise | 36 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
SAP Data Services is a comprehensive data integration and management tool known for its robust ETL functionality and seamless data quality management across SAP and non-SAP systems, providing flexibility and effective data handling.
SAP Data Services offers extensive integration capabilities with a range of systems, enabling efficient data migration, warehousing, and quality assurance. Despite challenges in connectivity, SQL optimization, and handling big data, it remains a top choice for data extraction and transformation. Its user-friendly interface and customization options enhance ease of use. The tool is recognized for scalability, performance, customer satisfaction, and supporting complex data transformations for improved analytics.
What are the key features of SAP Data Services?SAP Data Services is widely implemented across industries like banking, telecom, and manufacturing. Companies leverage it to integrate multiple data sources and manage migrations from legacy to modern platforms such as cloud environments and HANA architecture. It supports complex transformations essential for financial, operational, and business intelligence reporting, enhancing insights and decision-making.
SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.
SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.
What are the key features of SAS Data Management?SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.
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