VMware Greenplum vs. Dremio
A side-by-side comparison based on G2 review data.
| Metric | VMware Greenplum | Dremio |
|---|---|---|
| Overall rating | 4.3 | 4.6 |
| Review count | 61 | 71 |
| Ease of use | 8.6 | 9.3 |
| Ease of setup | 8.4 | 8.7 |
| Quality of support | 8.3 | 8.8 |
| Meets requirements | 8.7 | 8.9 |
| NPS | 47.272727 | 76.923077 |
| Small Business | 21.3% | 11.3% |
| Mid-Market | 29.5% | 39.4% |
| Enterprise | 49.2% | 49.3% |
| Total page views | 129 | 429 |
| Total LLM citations | 93 | 2,089 |
VMware Greenplum
Advanced analytics meets traditional business intelligence with VMware Greenplum, the world’s first fully-featured, multi-cloud, massively parallel processing (MPP) data platform based on the open source Greenplum Database. Greenplum provides comprehensive and integrated analytics on multi-structured data. Powered by one of the world’s most advanced cost-based query optimizers, VMware Greenplum delivers unmatched analytical query performance on massive volumes of data.
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