PopSQL vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | PopSQL | Databricks |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 81 | 1,388 |
| Ease of use | 9.5 | 8.9 |
| Ease of setup | 9.9 | 8.7 |
| Quality of support | 9.2 | 8.9 |
| Meets requirements | 9.2 | 9.1 |
| NPS | 75 | 77.851361 |
| Small Business | 42.0% | 15.1% |
| Mid-Market | 37.0% | 37.6% |
| Enterprise | 21.0% | 47.2% |
| Total page views | 85 | 16,340 |
| Total LLM citations | 413 | 14,031 |
PopSQL
PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast. With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery.
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