Azure Data Factory vs. SAS Data Management
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Factory | SAS Data Management |
|---|---|---|
| Overall rating | 4.6 | 4.1 |
| Review count | 102 | 100 |
| Ease of use | 9.1 | 7.7 |
| Ease of setup | 9.2 | 8.7 |
| Quality of support | 9.0 | 8.2 |
| Meets requirements | 9.3 | 8.6 |
| NPS | 76.28866 | 35.051546 |
| Small Business | 11.9% | 26.0% |
| Mid-Market | 28.7% | 23.0% |
| Enterprise | 59.4% | 51.0% |
| Total page views | 445 | 93 |
| Total LLM citations | 1,119 | 134 |
Azure Data Factory
Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems.
- Data Integration
- Ease of Use
- Integrations
- Scalability
- Connectors
- Simple
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