Databricks Lakewatch vs Graylog SIEM: Side-by-Side Comparison (2026)

Databricks Lakewatch: Open agentic SIEM on Databricks lakehouse for petabyte-scale SOC ops. built by Databricks. Core capabilities include Agentic AI-driven threat detection and response, Petabyte-scale security data ingestion and storage, Unified security data lakehouse architecture..

Graylog SIEM: AI-powered SIEM platform for log management, threat detection, and IT ops. built by Graylog, Inc.. Core capabilities include AI-powered threat detection and automated investigations, Centralized log collection and analysis, Real-time monitoring with alerting..

Both serve the Security Information and Event Management market but differ in approach, feature depth, and target audience.

Databricks Lakewatch differentiates with Agentic AI-driven threat detection and response, Petabyte-scale security data ingestion and storage, Unified security data lakehouse architecture. Graylog SIEM differentiates with AI-powered threat detection and automated investigations, Centralized log collection and analysis, Real-time monitoring with alerting.

Databricks Lakewatch is developed by Databricks. Graylog SIEM is developed by Graylog, Inc.. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Databricks Lakewatch and Graylog SIEM serve similar Security Information and Event Management use cases: both are Security Information and Event Management tools, both cover Alerting, Log Management. Review the feature comparison above to determine which fits your requirements.