Azure Data Studio vs. DBHawk
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Studio | DBHawk |
|---|---|---|
| Overall rating | 4.5 | 4.9 |
| Review count | 35 | 25 |
| Ease of use | 9.1 | 9.8 |
| Ease of setup | 8.8 | 9.5 |
| Quality of support | 9.3 | 9.9 |
| Meets requirements | 9.3 | 9.9 |
| NPS | 62.857143 | 100 |
| Small Business | 40.0% | 16.0% |
| Mid-Market | 17.1% | 52.0% |
| Enterprise | 42.9% | 32.0% |
| Total page views | 145 | 156 |
| Total LLM citations | 792 | 147 |
Azure Data Studio
Azure Data Studio is a lightweight, cross-platform data management and development tool designed for data professionals. It offers a modern editor experience with features like IntelliSense, code snippets, source control integration, and an integrated terminal, facilitating efficient database management and development. Supporting Windows, macOS, and Linux, Azure Data Studio allows connections to various databases, including Azure SQL, SQL Server, MySQL, PostgreSQL, and Cosmos DB.
- Analytics
- Ease of Use
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.