FlockDB vs. Dgraph
A side-by-side comparison based on G2 review data.
| Metric | FlockDB | Dgraph |
|---|---|---|
| Overall rating | 3.6 | 4.7 |
| Review count | 11 | 22 |
| Ease of use | 7.6 | 9.1 |
| Ease of setup | 7.1 | 9.1 |
| Quality of support | 8.3 | 9.4 |
| Meets requirements | 7.5 | 9.5 |
| NPS | 0 | 81.818182 |
| Small Business | 36.4% | 71.4% |
| Mid-Market | 36.4% | 9.5% |
| Enterprise | 27.3% | 19.0% |
| Total page views | 19 | 74 |
| Total LLM citations | 1 | 515 |
FlockDB
FlockDB is simpler than other graph databases because it tries to solve fewer problems. It scales horizontally and is designed for on-line, low-latency, high throughput environments such as web-sites.
Dgraph
Dgraph is the world's most advanced GraphQL database with a graph backend. The number one graph database on GitHub and over 500,000 downloads every month, Dgraph is built for performance and scalability. Jepsen tested, it has the best performance, returning millisecond query responses on terabytes of data. Dgraph is ideal for a range of use cases, from customer 360 and fraud detection to complicated queries with multi-hops and arbitrary-depth joins.