Apache Airflow vs. SAS Viya
A side-by-side comparison based on G2 review data.
| Metric | Apache Airflow | SAS Viya |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 130 | 832 |
| Ease of use | 8.7 | 8.5 |
| Ease of setup | 8.2 | 8.3 |
| Quality of support | 8.5 | 8.6 |
| Meets requirements | 9.2 | 8.8 |
| NPS | 62.5 | 56.162643 |
| Small Business | 22.8% | 34.5% |
| Mid-Market | 45.7% | 31.5% |
| Enterprise | 31.5% | 34.1% |
| Total page views | 451 | 2,874 |
| Total LLM citations | 1,881 | 8,976 |
Apache Airflow
Apache Airflow is an open-source platform designed for authoring, scheduling, and monitoring complex workflows. Developed in Python, it enables users to define workflows as code, facilitating dynamic pipeline generation and seamless integration with various technologies. Airflow's modular architecture and message queue system allow it to scale efficiently, managing workflows from single machines to large-scale distributed systems. Its user-friendly web interface provides comprehensive monitoring and management capabilities, offering clear insights into task statuses and execution logs.
- Ease of Use
- User Interface
- Flexibility
- Integrations
- Automation
- Easy Integrations
SAS Viya
SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment.
- Ease of Use
- Features
- Analytics
- Data Analysis
- User Interface
- Data Visualization