Dgraph vs. Elastic Stack
A side-by-side comparison based on G2 review data.
| Metric | Dgraph | Elastic Stack |
|---|---|---|
| Overall rating | 4.7 | 4.5 |
| Review count | 22 | 109 |
| Ease of use | 9.1 | 8.3 |
| Ease of setup | 9.1 | 8.0 |
| Quality of support | 9.4 | 8.4 |
| Meets requirements | 9.5 | 9.1 |
| NPS | 81.818182 | 69.52381 |
| Small Business | 71.4% | 22.2% |
| Mid-Market | 9.5% | 43.5% |
| Enterprise | 19.0% | 34.3% |
| Total page views | 74 | 505 |
| Total LLM citations | 515 | 1,347 |
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.
Elastic Stack
The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data.
- Ease of Use
- Log Management
- Versatility
- Search Efficiency
- Flexibility
- Dashboard Usability