Azure Databricks vs. Rayven
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | Rayven |
|---|---|---|
| Overall rating | 4.5 | 4.9 |
| Review count | 240 | 29 |
| Ease of use | 8.9 | 9.9 |
| Ease of setup | 8.9 | 9.9 |
| Quality of support | 8.7 | 9.9 |
| Meets requirements | 9.0 | 10.0 |
| NPS | 68.691589 | 100 |
| Small Business | 25.1% | 22.7% |
| Mid-Market | 27.6% | 54.5% |
| Enterprise | 47.3% | 22.7% |
| Total page views | 404 | 1,648 |
| Total LLM citations | 1,981 | 1,068 |
Azure Databricks
Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala.
- Ease of Use
- Features
- Integrations
- Speed
- Scaling
- Analytics
Rayven
What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top.
- Ease of Use
- Features
- Automation
- Customization
- Data Management
- Intuitive