DATASKOPE vs Satori Data Security Platform

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.

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.