Azure SQL Server Stretch Database vs. DBHawk
A side-by-side comparison based on G2 review data.
| Metric | Azure SQL Server Stretch Database | DBHawk |
|---|---|---|
| Overall rating | 4.1 | 4.9 |
| Review count | 17 | 25 |
| Ease of use | 8.8 | 9.8 |
| Ease of setup | 8.9 | 9.5 |
| Quality of support | 8.0 | 9.9 |
| Meets requirements | 8.9 | 9.9 |
| NPS | 31.25 | 100 |
| Small Business | 29.4% | 16.0% |
| Mid-Market | 35.3% | 52.0% |
| Enterprise | 35.3% | 32.0% |
| Total page views | 77 | 156 |
| Total LLM citations | 21 | 147 |
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
DBHawk
Zero Trust Database Access with Unified Web-Based IDE. With Datasparc's patented flagship product DBHawk, users only receive access to the data they need. DBHawk provides zero trust database access to on-premise and cloud databases. DBHawk supports a wide array of SQL and NoSQL databases, including AWS Athena, Amazon Redshift, Cassandra, Greenplum, MongoDB, MySQL, Oracle, Microsoft SQL Server, SAP Hana, and Teradata. DBHawk integrates with SAML, LDAP, SSO, and OKTA.