Amazon Relational Database Service (RDS) vs. Neo4j Graph Database
A side-by-side comparison based on G2 review data.
| Metric | Amazon Relational Database Service (RDS) | Neo4j Graph Database |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 907 | 133 |
| Ease of use | 9.0 | 8.4 |
| Ease of setup | 9.0 | 8.8 |
| Quality of support | 8.8 | 8.7 |
| Meets requirements | 9.1 | 8.7 |
| NPS | 66.164542 | 67.938931 |
| Small Business | 28.8% | 43.6% |
| Mid-Market | 37.5% | 30.1% |
| Enterprise | 33.7% | 26.3% |
| Total page views | 646 | 475 |
| Total LLM citations | 2,389 | 13,832 |
Amazon Relational Database Service (RDS)
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines.
- Ease of Use
- Scalability
- Setup Ease
- Security
- Backup Services
- Reliability
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