What is the difference between Databricks Lakewatch vs Graylog Graylog?

**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 Graylog**: AI-powered SIEM, API security, and log management platform. built by Graylog, Inc.. Core capabilities include AI-powered security investigations and threat detection, Centralized log collection and management, Real-time security monitoring and alerting.. Both serve the Security Information and Event Management market but differ in approach, feature depth, and target audience.

What features do Databricks Lakewatch vs Graylog Graylog offer?

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

Who makes Databricks Lakewatch vs Graylog Graylog?

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

Is Databricks Lakewatch a good alternative to Graylog Graylog?

Databricks Lakewatch and Graylog Graylog 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.