Databricks Lakewatch vs FireEye Helix: 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..

FireEye Helix: Cloud-hosted security operations platform with SIEM, orchestration & TI. built by FireEye. Core capabilities include Alert management with create, view, update capabilities, Custom search queries using MQL query language, Alert filtering by state, severity, risk, and confidence..

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. FireEye Helix differentiates with Alert management with create, view, update capabilities, Custom search queries using MQL query language, Alert filtering by state, severity, risk, and confidence.

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

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