Azure SQL Server Stretch Database vs. Zilliz
A side-by-side comparison based on G2 review data.
| Metric | Azure SQL Server Stretch Database | Zilliz |
|---|---|---|
| Overall rating | 4.1 | 4.7 |
| Review count | 17 | 52 |
| Ease of use | 8.8 | 9.4 |
| Ease of setup | 8.9 | 9.2 |
| Quality of support | 8.0 | 9.6 |
| Meets requirements | 8.9 | 9.4 |
| NPS | 31.25 | 90.384615 |
| Small Business | 29.4% | 49.0% |
| Mid-Market | 35.3% | 38.8% |
| Enterprise | 35.3% | 12.2% |
| Total page views | 77 | 613 |
| Total LLM citations | 21 | 3,712 |
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
Zilliz
Zilliz Cloud is a cloud-native vector database platform that stores, indexes, and searches billions of embedding vectors to power enterprise-grade similarity search, recommender systems, retrieval augmented generation, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.
- Ease of Use
- Speed
- Features
- Performance
- Documentation
- Scalability