Azure Databricks vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | Databricks |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 240 | 1,388 |
| Ease of use | 8.9 | 8.9 |
| Ease of setup | 8.9 | 8.7 |
| Quality of support | 8.7 | 8.9 |
| Meets requirements | 9.0 | 9.1 |
| NPS | 68.691589 | 77.851361 |
| Small Business | 25.1% | 15.1% |
| Mid-Market | 27.6% | 37.6% |
| Enterprise | 47.3% | 47.2% |
| Total page views | 404 | 16,340 |
| Total LLM citations | 1,981 | 14,031 |
Azure Databricks
Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala.
- Ease of Use
- Features
- Integrations
- Speed
- Scaling
- Analytics
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Features
- Ease of Use
- Integrations
- Collaboration
- Analytics
- Easy Integrations