Redash vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Redash | Databricks |
|---|---|---|
| Overall rating | 4.3 | 4.6 |
| Review count | 44 | 1,388 |
| Ease of use | 8.9 | 8.9 |
| Ease of setup | 8.1 | 8.7 |
| Quality of support | 8.7 | 8.9 |
| Meets requirements | 9.0 | 9.1 |
| NPS | 56.818182 | 77.851361 |
| Small Business | 36.4% | 15.1% |
| Mid-Market | 50.0% | 37.6% |
| Enterprise | 13.6% | 47.2% |
| Total page views | 86 | 16,340 |
| Total LLM citations | 332 | 14,031 |
Redash
Redash is an open-source data visualization and business intelligence platform that empowers organizations to connect, query, and visualize data from multiple sources. Designed for both technical and non-technical users, Redash simplifies data exploration and sharing, enabling teams to make informed, data-driven decisions. Its intuitive interface allows users to write SQL queries, create interactive dashboards, and share insights seamlessly across departments.
- Data Visualization
- Customization
- Integrations
- Ease of Use
- Speed
- SQL Querying
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