Aurva Database Activity Monitoring vs DB Audit

Aurva Database Activity Monitoring is a paid, self-hosted product for monitoring database queries from people, service accounts, and AI agents. It identifies the responsible actor and shows role, application, and access path. For AI agents, it builds behavioral baselines and alerts when activity deviates from expected patterns. Policies can govern access by identity, data sensitivity, location, and time, including blocking access or redacting columns. Aurva describes a passive, out-of-band architecture that monitors traffic without sitting in the query path and says it adds 0 ms of application latency. Deployment options include agent, agentless, combined, cloud, on-premises, and hybrid setups. Named coverage includes PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, DynamoDB, Kafka, and other stores, with integrations including Databricks, Amazon Athena, Aurora, Redis, and Microsoft SQL Server. Aurva lists audit logging and sensitive-data monitoring aligned with SOC 2 and ISO 27001 objectives. Pricing is custom and available on request.

DB Audit is a database auditing and security platform for tracking activity, detecting threats, and supporting compliance. It captures and analyzes database queries in real time; its maker says the streaming pipeline handles millions of events per second with detection latency under one second. AI models establish behavioral baselines for users and applications and score deviations such as SQL injection attempts and privilege escalation. Scans classify PII, PHI, and financial data across more than 20 categories. Compliance tools include templates for GDPR, HIPAA, SOX, PCI-DSS, SOC 2, and ISO 27001, plus custom policies and automated scoring. Continuous scans identify CVEs, misconfigurations, and network issues, ranked by exploitability and data classification. Deployment options are cloud, on-premise, and hybrid, including air-gapped on-premise setups. Listed connections include database types, data lakes, SIEM forwarding, and alerts through Slack, Teams, email, PagerDuty, and webhooks. A 14-day proof of concept is available for all deployment models by contacting the company. Pricing depends on database count, deployment model, and support tier; buyers are directed to request a quote.