Databricks Lakewatch vs Panther Unified Search: 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..

Panther Unified Search: Cloud-native SIEM with unified search across security logs and data lake. built by Panther. Core capabilities include Cross-log type queries for correlated event analysis, Visual search interface without SQL requirement, Petabyte-scale security data lake with hot storage..

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. Panther Unified Search differentiates with Cross-log type queries for correlated event analysis, Visual search interface without SQL requirement, Petabyte-scale security data lake with hot storage.

Databricks Lakewatch is developed by Databricks. Panther Unified Search is developed by Panther. 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. Panther Unified Search integrates with AWS. Check integration compatibility with your existing security stack before deciding.

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