DATASKOPE vs DB Audit

DATASKOPE monitors, analyzes, alerts on, and reports database activity in real time. It records who accessed sensitive data, where access came from, which transactions occurred, and when. Audit visibility can be limited by user, database, table, and command. Recorded operations include SELECT, UPDATE, DELETE, and EXEC, showing what changed and by whom. DATASKOPE tracks successful and unsuccessful logins plus administrative actions such as creating or deleting users. Predefined alarm rules classify database events and notify responsible people. Its NoSQL search engine distributes searches across nodes and is described as scaling horizontally and vertically. Audit data can be automatically backed up and archived, with geographic replication and local redundancy. The product supports multiple database engines and is presented for activity monitoring, access governance, audit reporting, and threat detection. Pricing is not published; Plainex offers contact and demo requests.

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.