Azure Databricks vs. EXASOL
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | EXASOL |
|---|---|---|
| Overall rating | 4.5 | 4.7 |
| Review count | 240 | 28 |
| Ease of use | 8.9 | 9.1 |
| Ease of setup | 8.9 | 8.8 |
| Quality of support | 8.7 | 9.4 |
| Meets requirements | 9.0 | 9.7 |
| NPS | 68.691589 | 78.26087 |
| Small Business | 25.1% | 25.9% |
| Mid-Market | 27.6% | 33.3% |
| Enterprise | 47.3% | 40.7% |
| Total page views | 404 | 117 |
| Total LLM citations | 1,981 | 142 |
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
EXASOL
Exasol is the world’s most powerful Analytics Engine, purpose-built to handle the most demanding data workloads at an unmatched price / performance ratio. <b>In-memory architecture </b> Want to process 3 billion rows in 3 seconds, not 3 hours? Exasol manages memory cache automatically, only bringing what's needed into the database for dramatically faster access times. <b>Automatic query tuning </b> Enjoy optimized performance while minimizing data administration overhead.
- Query Efficiency
- Performance
- Features
- Cost-Effective
- Fast Processing
- Analytics