Azure Databricks vs. Datacoves
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | Datacoves |
|---|---|---|
| Overall rating | 4.5 | 4.8 |
| Review count | 240 | 19 |
| Ease of use | 8.9 | 9.2 |
| Ease of setup | 8.9 | 8.2 |
| Quality of support | 8.7 | 9.5 |
| Meets requirements | 9.0 | 9.2 |
| NPS | 68.691589 | 84.210526 |
| Small Business | 25.1% | 26.3% |
| Mid-Market | 27.6% | 26.3% |
| Enterprise | 47.3% | 47.4% |
| Total page views | 404 | 164 |
| Total LLM citations | 1,981 | 95 |
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
Datacoves
Datacoves is an enterprise DataOps platform with managed dbt Core and Airflow for data transformation and orchestration. We offer VS Code in the browser for dbt development with the ability to include preferred VS Code extensions and Python libraries such as the official Snowflake Extension and Snowpark. You may also optionally use our managed Airbyte and Superset for a full end-to-end solution.
- Ease of Use
- Customer Support
- Features
- Integrations
- Data Engineering
- Workflow Efficiency