Databricks Lakewatch vs TEHTRIS 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..

TEHTRIS SIEM: SIEM for log collection, correlation, archiving, and alerting within XDR platform. built by TEHTRIS. Core capabilities include Log collection and normalization from multiple sources, Internal correlation engine with 500+ built-in rules, Customizable dashboards for monitoring and analytics..

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. TEHTRIS SIEM differentiates with Log collection and normalization from multiple sources, Internal correlation engine with 500+ built-in rules, Customizable dashboards for monitoring and analytics.

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

Databricks Lakewatch integrates with Databricks Unity Catalog, Databricks Delta Lake, Databricks Delta Sharing, AWS, Azure and 1 more. TEHTRIS SIEM integrates with AWS, Office 365, Proofpoint, Zscaler, TEHTRIS XDR AI PLATFORM and 1 more. Check integration compatibility with your existing security stack before deciding.

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