Azure Data Lake Analytics vs. Azure Databricks
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Lake Analytics | Azure Databricks |
|---|---|---|
| Overall rating | 4.2 | 4.5 |
| Review count | 37 | 240 |
| Ease of use | 8.6 | 8.9 |
| Ease of setup | 8.6 | 8.9 |
| Quality of support | 8.7 | 8.7 |
| Meets requirements | 8.8 | 9.0 |
| NPS | 50 | 68.691589 |
| Small Business | 19.4% | 25.1% |
| Mid-Market | 27.8% | 27.6% |
| Enterprise | 52.8% | 47.3% |
| Total page views | 95 | 404 |
| Total LLM citations | 35 | 1,981 |
Azure Data Lake Analytics
Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.
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