

SAP Data Services and SAS Data Management operate in the data management software category. SAP Data Services potentially holds an advantage due to its broad integration capabilities and high ROI highlighted in user reports.
Features: SAP Data Services offers robust integration with SAP systems, comprehensive ETL capabilities, and strong data quality management. It is noted for easy adaptability by users familiar with SAP environments and seamless data transformation. SAS Data Management excels in data sorting, categorizing, and summarizing, providing connectivity across diverse data sources. It features a powerful, flexible language and is user-friendly, even for those without coding experience.
Room for Improvement: SAP Data Services faces challenges in handling web services, cryptic error logging, and lacks flexibility outside SAP environments. Improving connectivity and dynamic scheduling, along with user-friendliness for non-technical users, is needed. SAS Data Management's main concerns are its high cost and integration transparency. Enhancing tool interoperability and a more user-friendly interface are necessary to remain competitive with modern analytics solutions.
Ease of Deployment and Customer Service: SAP Data Services provides diverse deployment models including on-premises, private, and hybrid cloud, offering flexibility for different organizational needs. Its customer service is highly rated, though response times can lag unless issues are escalated. SAS Data Management is primarily on-premises, limiting flexibility. Its technical support receives mixed reviews, with complexity cited as a barrier. Both would benefit from more responsive and streamlined support processes.
Pricing and ROI: SAP Data Services is perceived as costly, especially for high-data processing or extensive integrations, though moving towards a usage-based pricing model may suit organizations with lower data demands. Users report significant time and cost savings, highlighting its ROI potential. SAS Data Management's pricing is considered high, with affordability a challenge for smaller firms despite varied options. Both solutions offer substantial ROI, particularly SAP Data Services through reduced development time and enhanced processing efficiency.
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.
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.
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.
SAP Data Services is mainly used for extraction of data, and it works with all databases.
I really appreciate the many custom functions that exist and the ease of connecting to different SAP connections.
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
| Product | Mindshare (%) |
|---|---|
| SAP Data Services | 1.5% |
| SAS Data Management | 1.3% |
| Other | 97.2% |

| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 5 |
| Large Enterprise | 36 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| 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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