Azure SQL Server Stretch Database vs. Neo4j Graph Database
A side-by-side comparison based on G2 review data.
| Metric | Azure SQL Server Stretch Database | Neo4j Graph Database |
|---|---|---|
| Overall rating | 4.1 | 4.5 |
| Review count | 17 | 133 |
| Ease of use | 8.8 | 8.4 |
| Ease of setup | 8.9 | 8.8 |
| Quality of support | 8.0 | 8.7 |
| Meets requirements | 8.9 | 8.7 |
| NPS | 31.25 | 67.938931 |
| Small Business | 29.4% | 43.6% |
| Mid-Market | 35.3% | 30.1% |
| Enterprise | 35.3% | 26.3% |
| Total page views | 77 | 475 |
| Total LLM citations | 21 | 13,832 |
Azure SQL Server Stretch Database
Azure SQL Server Stretch Database was a feature introduced in SQL Server 2016 that allowed organizations to dynamically extend their on-premises databases to Azure, enabling seamless access to both hot and cold data without significant changes to existing applications. This capability provided virtually unlimited storage and compute capacity, facilitating efficient management of large datasets.
- Solution Efficiency
- 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