Databricks vs. Azure Machine Learning
A side-by-side comparison based on G2 review data.
| Metric | Databricks | Azure Machine Learning |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 1,388 | 90 |
| Ease of use | 8.9 | 8.7 |
| Ease of setup | 8.7 | 8.6 |
| Quality of support | 8.9 | 8.8 |
| Meets requirements | 9.1 | 8.7 |
| NPS | 77.851361 | 48.275862 |
| Small Business | 15.1% | 33.3% |
| Mid-Market | 37.6% | 26.7% |
| Enterprise | 47.2% | 40.0% |
| Total page views | 16,340 | 239 |
| Total LLM citations | 14,031 | 1,035 |
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
Azure Machine Learning
Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces.
- Features
- Ease of Use
- Customer Support
- Data Management
- Implementation Ease
- Efficiency