Amazon Relational Database Service (RDS) vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Amazon Relational Database Service (RDS) | Databricks |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 907 | 1,388 |
| Ease of use | 9.0 | 8.9 |
| Ease of setup | 9.0 | 8.7 |
| Quality of support | 8.8 | 8.9 |
| Meets requirements | 9.1 | 9.1 |
| NPS | 66.164542 | 77.851361 |
| Small Business | 28.8% | 15.1% |
| Mid-Market | 37.5% | 37.6% |
| Enterprise | 33.7% | 47.2% |
| Total page views | 646 | 16,340 |
| Total LLM citations | 2,389 | 14,031 |
Amazon Relational Database Service (RDS)
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines.
- Ease of Use
- Scalability
- Setup Ease
- Security
- Backup Services
- Reliability
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