SAS Data Management vs. Lightly
A side-by-side comparison based on G2 review data.
| Metric | SAS Data Management | Lightly |
|---|---|---|
| Overall rating | 4.1 | 4.4 |
| Review count | 100 | 14 |
| Ease of use | 7.7 | 8.9 |
| Ease of setup | 8.7 | 9.0 |
| Quality of support | 8.2 | 8.6 |
| Meets requirements | 8.6 | 8.6 |
| NPS | 35.051546 | 64.285714 |
| Small Business | 26.0% | 28.6% |
| Mid-Market | 23.0% | 57.1% |
| Enterprise | 51.0% | 14.3% |
| Total page views | 93 | 200 |
| Total LLM citations | 134 | 274 |
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
Lightly
Lightly helps machine learning teams to build better models through better data. It allows companies to select the right data for model training by using active learning. Intelligently select the best samples for model training through advanced filtering and active-learning algorithms. Balance your class distributions, remove redundancies and dataset bias. Label only the best data for model training until you reach your target accuracy. Analyze the quality and diversity of your datasets.
- Performance Speed
- AI Modeling
- Learning
- User Interface
- Analysis
- Time-saving