DBHawk vs. Protegrity
A side-by-side comparison based on G2 review data.
| Metric | DBHawk | Protegrity |
|---|---|---|
| Overall rating | 4.9 | 4.5 |
| Review count | 25 | 14 |
| Ease of use | 9.8 | 9.0 |
| Ease of setup | 9.5 | 9.3 |
| Quality of support | 9.9 | 9.3 |
| Meets requirements | 9.9 | 9.3 |
| NPS | 100 | 57.142857 |
| Small Business | 16.0% | 23.1% |
| Mid-Market | 52.0% | 46.2% |
| Enterprise | 32.0% | 30.8% |
| Total page views | 156 | 307 |
| Total LLM citations | 147 | 666 |
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.
Protegrity
Protegrity secures the data and knowledge layer AI runs on, binding protection directly to the data itself rather than locking access around it. Its platform tokenizes, encrypts, and masks sensitive data at the field and knowledge-graph level, enforcing policy in real time at the point of a prompt, query, or answer — across AWS, Azure, GCP, and OpenShift, with FIPS-validated, post-quantum-ready cryptography.