Azure SQL Database vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Azure SQL Database | Databricks |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 242 | 1,388 |
| Ease of use | 9.0 | 8.9 |
| Ease of setup | 8.9 | 8.7 |
| Quality of support | 9.0 | 8.9 |
| Meets requirements | 9.2 | 9.1 |
| NPS | 66.094421 | 77.851361 |
| Small Business | 26.7% | 15.1% |
| Mid-Market | 32.9% | 37.6% |
| Enterprise | 40.4% | 47.2% |
| Total page views | 357 | 16,340 |
| Total LLM citations | 1,499 | 14,031 |
Azure SQL Database
Azure SQL Database is a fully managed, intelligent relational database service built on the Microsoft SQL Server engine, designed to support modern cloud applications. It offers scalability, high availability, and robust security features, enabling developers to build and maintain applications without the complexities of infrastructure management. Key Features and Functionality: - Hyperscale Storage: Rapidly scale storage resources to meet demand, supporting large databases with up to 100 TB capacity.
- Scalability
- Integrations
- Ease of Use
- Security
- Easy Integrations
- Features
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