Snowflake vs. SAS Data Management
A side-by-side comparison based on G2 review data.
| Metric | Snowflake | SAS Data Management |
|---|---|---|
| Overall rating | 4.6 | 4.1 |
| Review count | 762 | 100 |
| Ease of use | 9.2 | 7.7 |
| Ease of setup | 9.1 | 8.7 |
| Quality of support | 8.9 | 8.2 |
| Meets requirements | 9.3 | 8.6 |
| NPS | 73.876404 | 35.051546 |
| Small Business | 13.1% | 26.0% |
| Mid-Market | 44.9% | 23.0% |
| Enterprise | 42.1% | 51.0% |
| Total page views | 4,830 | 93 |
| Total LLM citations | 28,559 | 134 |
Snowflake
Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).
- Ease of Use
- Features
- Data Management
- Scalability
- Integrations
- Performance
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