

WhereScape RED and SAS Data Management both compete in the data management and ETL tools market. WhereScape RED seems to have an edge with its automation and user-friendly features, whereas SAS Data Management is noted for its robust data manipulation capabilities but is considered more complex and costly.
Features: WhereScape RED focuses heavily on automation, offering features like automated documentation, impact analysis, and streamlined ETL processes. It's designed for rapid deployment with a metadata-driven approach. SAS Data Management excels in data manipulation, providing comprehensive language support and integration versatility, ensuring reliable data quality management across numerous sources.
Room for Improvement: WhereScape RED could improve in performance optimization, storage utilization, and efficient scheduling. There is also a need for better support in change data capture and metadata repository sharing. SAS Data Management, on the other hand, is viewed as expensive and complex to configure, with suggestions for better user training, interface improvements, and documentation. Enhanced cloud integration and simplified analytics management are also desired.
Ease of Deployment and Customer Service: WhereScape RED supports on-premises, public, and hybrid cloud deployments, with excellent customer service noted for its responsive technical support. SAS Data Management is more focused on on-premises deployment, and while its customer service is praised, users have reported concerns about post-purchase support, seeking more responsive follow-ups.
Pricing and ROI: WhereScape RED offers competitive pricing with a flexible licensing model, resulting in substantial ROI through rapid development and reduced time-to-market. SAS Data Management is considered expensive, with high licensing costs impacting buyer consideration despite its comprehensive capabilities.
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.
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.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
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.
| Product | Mindshare (%) |
|---|---|
| SAS Data Management | 1.3% |
| WhereScape RED | 1.3% |
| Other | 97.4% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 11 |
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.
WhereScape RED streamlines data warehousing processes through automation, empowering organizations with agile code generation and easy management of data integration and documentation.
WhereScape RED provides automated documentation, agile code generation, and a metadata-driven framework, making it ideal for enterprise data warehousing. It integrates well with methodologies like Data Vault and Kimball, offering data lineage, impact analysis, and ELT capabilities. With diverse data environment support such as Teradata, Oracle, and SQL Server, it simplifies staging, transforming, and loading processes. Though some users suggest improvements in performance and multi-database support, RED stands out with its automation that enhances code readability and reduces manual tasks.
What are the most valuable features of WhereScape RED?WhereScape RED is often implemented in industries needing robust data integration solutions. It is utilized for business reporting within sectors relying on SQL Server for their ETL processes. Its drag-and-drop functionality and support for heterogeneous data sources make it a versatile tool for managing complex data environments.
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