Database as a Service (DBaaS) vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Database as a Service (DBaaS) | Databricks |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 45 | 1,388 |
| Ease of use | 9.0 | 8.9 |
| Ease of setup | 8.9 | 8.7 |
| Quality of support | 8.9 | 8.9 |
| Meets requirements | 9.1 | 9.1 |
| NPS | 70.454545 | 77.851361 |
| Small Business | 40.0% | 15.1% |
| Mid-Market | 31.1% | 37.6% |
| Enterprise | 28.9% | 47.2% |
| Total page views | 125 | 16,340 |
| Total LLM citations | 281 | 14,031 |
Database as a Service (DBaaS)
Azure Database for MySQL is a fully managed, open-source relational database service designed to simplify the deployment, management, and scaling of MySQL databases in the cloud. By leveraging the latest MySQL Community Edition, it offers developers a seamless experience for building and maintaining applications without the overhead of infrastructure management. This service ensures high availability, robust security, and cost-effectiveness, allowing organizations to focus on innovation and application development.
- Ease of Use
- Integrations
- Azure Services
- Tools
- Interface Usability
- 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