Azure SQL Database vs. Neo4j Graph Database
A side-by-side comparison based on G2 review data.
| Metric | Azure SQL Database | Neo4j Graph Database |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 242 | 133 |
| Ease of use | 9.0 | 8.4 |
| Ease of setup | 8.9 | 8.8 |
| Quality of support | 9.0 | 8.7 |
| Meets requirements | 9.2 | 8.7 |
| NPS | 66.094421 | 67.938931 |
| Small Business | 26.7% | 43.6% |
| Mid-Market | 32.9% | 30.1% |
| Enterprise | 40.4% | 26.3% |
| Total page views | 357 | 475 |
| Total LLM citations | 1,499 | 13,832 |
Azure SQL Database
Azure SQL Database is a fully managed, intelligent relational database service built on the Microsoft SQL Server engine, designed to support modern cloud applications. It offers scalability, high availability, and robust security features, enabling developers to build and maintain applications without the complexities of infrastructure management. Key Features and Functionality: - Hyperscale Storage: Rapidly scale storage resources to meet demand, supporting large databases with up to 100 TB capacity.
- Scalability
- Integrations
- Ease of Use
- Security
- Easy Integrations
- Features
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