Aurva Database Activity Monitoring vs Satori Data Security Platform

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.

Satori Data Security Platform helps security and engineering teams control access to data across multi-cloud and on-premises environments, from production systems to AI. It discovers and classifies data assets, including sensitive data, and monitors data stores and AI applications for security. Centralized controls provide visibility into potential access, while real-time enforcement applies access and security policies. The platform can map and monitor exposure risks and automate responses. It covers databases, data lakes, and data warehouses, with integrations including Snowflake, Databricks, Amazon Redshift, PostgreSQL, Amazon S3, Microsoft SQL Server, GraphQL, and Microsoft Fabric. Deployment can be Satori-managed SaaS, dedicated private SaaS, or customer-hosted in a Kubernetes cluster on AWS, Azure, or GCP. Satori describes its architecture as cloud-native and Kubernetes-based, with horizontal scalability and fault tolerance. It states a 99.99% uptime SLA and millisecond-scale added latency, and says implementation requires no changes to data, schema, or user interactions. Pricing is on request; the pricing page asks visitors to submit a form rather than listing plan prices.