Apache Superset vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Apache Superset | Databricks |
|---|---|---|
| Overall rating | 4.4 | 4.6 |
| Review count | 53 | 1,388 |
| Ease of use | 9.0 | 8.9 |
| Ease of setup | 8.5 | 8.7 |
| Quality of support | 8.0 | 8.9 |
| Meets requirements | 9.0 | 9.1 |
| NPS | 68 | 77.851361 |
| Small Business | 34.0% | 15.1% |
| Mid-Market | 45.3% | 37.6% |
| Enterprise | 20.8% | 47.2% |
| Total page views | 393 | 16,340 |
| Total LLM citations | 2,436 | 14,031 |
Apache Superset
Apache Superset is an open-source data exploration and visualization platform designed to handle data at scale. It enables users to create interactive dashboards and perform complex data analyses with ease. Superset supports a wide range of data sources and integrates seamlessly with various databases, making it a versatile tool for data professionals. Key Features and Functionality: - Interactive Dashboards: Build and customize dashboards with a variety of visualization options to represent data effectively.
- Ease of Use
- Speed
- Automation
- SQL Querying
- Easy Access
- Ease of Understanding
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