SAS Data Management vs. Supersimple
A side-by-side comparison based on G2 review data.
| Metric | SAS Data Management | Supersimple |
|---|---|---|
| Overall rating | 4.1 | 4.4 |
| Review count | 100 | 15 |
| Ease of use | 7.7 | 9.4 |
| Ease of setup | 8.7 | 9.2 |
| Quality of support | 8.2 | 9.0 |
| Meets requirements | 8.6 | 9.1 |
| NPS | 35.051546 | 60 |
| Small Business | 26.0% | 66.7% |
| Mid-Market | 23.0% | 20.0% |
| Enterprise | 51.0% | 13.3% |
| Total page views | 93 | 31 |
| Total LLM citations | 134 | 22 |
SAS Data Management
SAS Data Management is a comprehensive solution designed to transform raw data into a valuable business asset by improving, integrating, managing, and governing data across an organization. It enables users to access data from various sources, create rules, collaborate with teams, and manage metadata, thereby preparing data for analytics and informed decision-making. Key Features and Functionality: - Data Access and Integration: Seamlessly access data from diverse sources, including legacy systems and modern platforms like Hadoop, ensuring comprehensive data integration.
- Ease of Use
- Analytics
- Data Quality
- Data Cleaning
- Data Management
- Data Preparation
Supersimple
Supersimple is an AI-native business intelligence platform that answers questions using both your data and your company's knowledge: metrics, tables, and documents, all at once. It connects to your data warehouse, data and code context (dbt, GitHub) and to the tools where your knowledge lives (Slack, Notion, Google Drive, Confluence, and more). Every answer is grounded with citations and no-code steps, instead of difficult-to-read code & queries. Governed semantic data models create a single source of truth, while ensuring flexible and reliable self-service.
- Ease of Use
- Useful
- Insights
- AI Integration
- Implementation Ease
- Time-saving