Apache Ambari vs. Dremio
A side-by-side comparison based on G2 review data.
| Metric | Apache Ambari | Dremio |
|---|---|---|
| Overall rating | 4.1 | 4.6 |
| Review count | 23 | 71 |
| Ease of use | 8.9 | 9.3 |
| Ease of setup | 8.3 | 8.7 |
| Quality of support | 7.5 | 8.8 |
| Meets requirements | 8.4 | 8.9 |
| NPS | 28.571429 | 76.923077 |
| Small Business | 17.4% | 11.3% |
| Mid-Market | 17.4% | 39.4% |
| Enterprise | 65.2% | 49.3% |
| Total page views | 39 | 429 |
| Total LLM citations | 30 | 2,089 |
Apache Ambari
Apache Ambari is a software project designed to enable system administrators to provision, manage and monitor a Hadoop cluster, and also to integrate Hadoop with the existing enterprise infrastructure.
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