Neo4j Graph Database vs. Amazon Neptune
A side-by-side comparison based on G2 review data.
| Metric | Neo4j Graph Database | Amazon Neptune |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 133 | 31 |
| Ease of use | 8.4 | 9.2 |
| Ease of setup | 8.8 | 8.9 |
| Quality of support | 8.7 | 9.4 |
| Meets requirements | 8.7 | 9.1 |
| NPS | 67.938931 | 48.387097 |
| Small Business | 43.6% | 56.7% |
| Mid-Market | 30.1% | 16.7% |
| Enterprise | 26.3% | 26.7% |
| Total page views | 475 | 157 |
| Total LLM citations | 13,832 | 502 |
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
Amazon Neptune
Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets.