ClusterControl vs. DBHawk
A side-by-side comparison based on G2 review data.
| Metric | ClusterControl | DBHawk |
|---|---|---|
| Overall rating | 4.4 | 4.9 |
| Review count | 16 | 25 |
| Ease of use | 8.8 | 9.8 |
| Ease of setup | 8.8 | 9.5 |
| Quality of support | 8.7 | 9.9 |
| Meets requirements | 8.6 | 9.9 |
| NPS | 75 | 100 |
| Small Business | 31.3% | 16.0% |
| Mid-Market | 31.3% | 52.0% |
| Enterprise | 37.5% | 32.0% |
| Total page views | 111 | 156 |
| Total LLM citations | 310 | 147 |
ClusterControl
ClusterControl enables you to implement full lifecycle automation for your open-source database footprints in on-premises, in the cloud, or in hyrbrid environments. ClusterControl supports MongoDB, Elasticsearch, TimescaleDB, Redis, Vlakey, Galera, SQL Server on Linux, PostgreSQL, MariaDB and MySQL.
- Helpful
- Ease of Use
- Documentation
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.