DataSunrise

DataSunrise builds a database and data security platform covering activity monitoring, data masking, data discovery/classification, and SQL injection prevention across a broad range of on-premises and cloud database engines, including Oracle, SQL Server, PostgreSQL, MySQL, MongoDB, Amazon RDS, Redshift, and Snowflake. The platform can be deployed as an inline proxy or in agentless sniffer mode, which lets customers add database activity monitoring and masking without re-architecting existing database infrastructure — a practical draw for organizations running heterogeneous, legacy-heavy data estates.

Founded in 2015 by Boris Tamarkin and headquartered in Seattle, Washington, DataSunrise has grown as a bootstrapped company without disclosed outside venture funding, competing in a database activity monitoring and data masking category long dominated by larger, better-capitalized vendors such as Imperva and IBM Guardium. Its pitch to the market centers on broad database-engine coverage and static/dynamic masking rules aimed at PCI-DSS, HIPAA, and GDPR compliance use cases, sold primarily through direct and reseller channels rather than the analyst-led enterprise motion of its bigger competitors.

As a self-funded, privately held vendor, DataSunrise discloses little in the way of independently audited customer counts, named enterprise deployments, or third-party security testing, so most of what is publicly verifiable about the product comes from its own technical documentation and marketing materials rather than outside validation. That does not mean the technology is not real — agentless database activity monitoring and masking is a well-understood, working category of security control — but it does mean buyers evaluating DataSunrise against incumbents should expect to do more of their own diligence than they would with a vendor that publishes case studies or has been through public third-party evaluation.