Google Datastream vs. Dremio
A side-by-side comparison based on G2 review data.
| Metric | Google Datastream | Dremio |
|---|---|---|
| Overall rating | 4.4 | 4.6 |
| Review count | 13 | 71 |
| Ease of use | 8.7 | 9.3 |
| Ease of setup | 8.9 | 8.7 |
| Quality of support | 8.9 | 8.8 |
| Meets requirements | 8.7 | 8.9 |
| NPS | 61.538462 | 76.923077 |
| Small Business | 38.5% | 11.3% |
| Mid-Market | 38.5% | 39.4% |
| Enterprise | 23.1% | 49.3% |
| Total page views | 62 | 429 |
| Total LLM citations | 93 | 2,089 |
Google Datastream
Google Datastream is a serverless change data capture (CDC) and replication service designed to synchronize data across diverse databases, storage systems, and applications with minimal latency and downtime. By enabling real-time data replication, Datastream facilitates seamless integration of operational data into analytics platforms, empowering organizations to derive timely insights and support event-driven architectures.
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