Azure Data Factory vs. Astro by Astronomer
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Factory | Astro by Astronomer |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 102 | 136 |
| Ease of use | 9.1 | 9.2 |
| Ease of setup | 9.2 | 8.9 |
| Quality of support | 9.0 | 9.1 |
| Meets requirements | 9.3 | 9.1 |
| NPS | 76.28866 | 72.592593 |
| Small Business | 11.9% | 13.4% |
| Mid-Market | 28.7% | 47.8% |
| Enterprise | 59.4% | 38.8% |
| Total page views | 445 | 763 |
| Total LLM citations | 1,119 | 3,948 |
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
Astro by Astronomer
For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Astronomer is the driving force behind Apache Airflow™, the de facto standard for expressing data flows as code. Airflow is downloaded more than 31 million times each month and is used by hundreds of thousands of teams around the world.
- Ease of Use
- Efficiency Improvement
- User Interface
- Automation
- Reliability
- Deployment Ease