Neo4j Graph Database vs. Elastic Stack
A side-by-side comparison based on G2 review data.
| Metric | Neo4j Graph Database | Elastic Stack |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 133 | 109 |
| Ease of use | 8.4 | 8.3 |
| Ease of setup | 8.8 | 8.0 |
| Quality of support | 8.7 | 8.4 |
| Meets requirements | 8.7 | 9.1 |
| NPS | 67.938931 | 69.52381 |
| Small Business | 43.6% | 22.2% |
| Mid-Market | 30.1% | 43.5% |
| Enterprise | 26.3% | 34.3% |
| Total page views | 475 | 505 |
| Total LLM citations | 13,832 | 1,347 |
Neo4j Graph Database
The fastest path to graph. Centered around the leading native graph database, today's Neo4j Graph Data Platform is a suite of applications and tools helping the world make sense of data. The Platform includes the Neo4j Graph Data Science Library – the leading enterprise-ready analytics workspace for graph data available as both open source and through a commercial license for enterprises – the graph visualization and exploration tool Bloom, the Cypher query language - very easy to learn and can operate across Neo4j, Apache Spark and Gremlin-based products using open source toolkits: "Cypher
- Ease of Use
- Features
- Database Management
- Performance Optimization
- Speed
- Design Flexibility
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