Azure Data Lake Analytics vs. Dremio
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Lake Analytics | Dremio |
|---|---|---|
| Overall rating | 4.2 | 4.6 |
| Review count | 37 | 71 |
| Ease of use | 8.6 | 9.3 |
| Ease of setup | 8.6 | 8.7 |
| Quality of support | 8.7 | 8.8 |
| Meets requirements | 8.8 | 8.9 |
| NPS | 50 | 76.923077 |
| Small Business | 19.4% | 11.3% |
| Mid-Market | 27.8% | 39.4% |
| Enterprise | 52.8% | 49.3% |
| Total page views | 95 | 429 |
| Total LLM citations | 35 | 2,089 |
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.
Dremio
Dremio is the pioneer of The Agentic Lakehouse—the only data platform built for agents, managed by agents. Organizations need to transform ideas into actions at unprecedented speed—Dremio delivers this agility by equipping AI agents with federated data access, unstructured data processing, and rich business context through its AI Semantic Layer. In the agentic-era, data engineering teams can’t manually tune performance for thousands of users and agents asking unpredictable questions every second.
- Ease of Use
- Integrations
- SQL Support
- Performance
- Setup Ease
- Speed