ClusterControl vs. Neo4j Graph Database
A side-by-side comparison based on G2 review data.
| Metric | ClusterControl | Neo4j Graph Database |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 16 | 133 |
| Ease of use | 8.8 | 8.4 |
| Ease of setup | 8.8 | 8.8 |
| Quality of support | 8.7 | 8.7 |
| Meets requirements | 8.6 | 8.7 |
| NPS | 75 | 67.938931 |
| Small Business | 31.3% | 43.6% |
| Mid-Market | 31.3% | 30.1% |
| Enterprise | 37.5% | 26.3% |
| Total page views | 111 | 475 |
| Total LLM citations | 310 | 13,832 |
ClusterControl
ClusterControl enables you to implement full lifecycle automation for your open-source database footprints in on-premises, in the cloud, or in hyrbrid environments. ClusterControl supports MongoDB, Elasticsearch, TimescaleDB, Redis, Vlakey, Galera, SQL Server on Linux, PostgreSQL, MariaDB and MySQL.
- Helpful
- Ease of Use
- Documentation
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