Apache Spark for Azure HDInsight vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Apache Spark for Azure HDInsight | Databricks |
|---|---|---|
| Overall rating | 4.1 | 4.6 |
| Review count | 13 | 1,388 |
| Ease of use | 8.8 | 8.9 |
| Ease of setup | 8.9 | 8.7 |
| Quality of support | 8.7 | 8.9 |
| Meets requirements | 8.7 | 9.1 |
| NPS | 30.769231 | 77.851361 |
| Small Business | 16.7% | 15.1% |
| Mid-Market | 58.3% | 37.6% |
| Enterprise | 25.0% | 47.2% |
| Total page views | 105 | 16,340 |
| Total LLM citations | 29 | 14,031 |
Apache Spark for Azure HDInsight
Apache Spark for Azure HDInsight is an open source processing framework that runs large-scale data analytics applications.
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