AWS Data Pipeline vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | AWS Data Pipeline | Databricks |
|---|---|---|
| Overall rating | 4.1 | 4.6 |
| Review count | 24 | 1,388 |
| Ease of use | 8.8 | 8.9 |
| Ease of setup | 7.3 | 8.7 |
| Quality of support | 8.6 | 8.9 |
| Meets requirements | 9.2 | 9.1 |
| NPS | 47.619048 | 77.851361 |
| Small Business | 12.5% | 15.1% |
| Mid-Market | 58.3% | 37.6% |
| Enterprise | 29.2% | 47.2% |
| Total page views | 78 | 16,340 |
| Total LLM citations | 73 | 14,031 |
AWS Data Pipeline
AWS Data Pipeline is a web service that helps you process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals.
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