Features, pricing, ratings, and pros & cons — compared head-to-head.
Databricks Lakewatch is a commercial security information and event management tool by Databricks. Gravwell Security Data Platform is a commercial security information and event management tool by Gravwell. Compare features, ratings, integrations, and community reviews side by side to find the best security information and event management fit for your security stack.
Based on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Enterprise SOCs drowning in petabyte-scale security data will find real value in Databricks Lakewatch because it actually stores and analyzes that volume without forcing you into expensive data movement or retention tradeoffs. The platform covers DE.CM and DE.AE strongly through agentic threat detection, though incident response automation (RS.MA and RS.AN) remains lighter than dedicated SOAR platforms. Skip this if your team needs out-of-the-box playbooks and tight third-party tool orchestration; Lakewatch assumes you can architect workflows on an open lakehouse foundation.
Gravwell Security Data Platform
Security teams in mid-market and enterprise environments that need to hunt threats across raw, unnormalized data will get the most from Gravwell Security Data Platform; its structure-on-read architecture and unlimited ingest capacity let you ask questions you didn't know to ask during onboarding, which matters when you're chasing adversaries through hybrid infrastructure. The indexer-based pricing model removes the typical volume penalty, and coverage of Detect and Analyze functions (DE.CM, DE.AE, RS.AN) reflects genuine strength in threat investigation rather than just log storage. Skip this if you need a fully managed cloud SIEM with pre-built compliance dashboards or if your team lacks SQL-adjacent query skills; Gravwell rewards operators who think like hunters, not security analysts who want point-and-click threat detection.
Open agentic SIEM on Databricks lakehouse for petabyte-scale SOC ops.
Security data platform for log analysis, metrics, and threat hunting
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Common questions about comparing Databricks Lakewatch vs Gravwell Security Data Platform for your security information and event management needs.
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..
Gravwell Security Data Platform: Security data platform for log analysis, metrics, and threat hunting. built by Gravwell. Core capabilities include Structure-on-read data lake architecture, Raw data ingestion without normalization requirements, PCAP network capture support..
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. Gravwell Security Data Platform differentiates with Structure-on-read data lake architecture, Raw data ingestion without normalization requirements, PCAP network capture support.
Databricks Lakewatch is developed by Databricks. Gravwell Security Data Platform is developed by Gravwell. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.
Databricks Lakewatch and Gravwell Security Data Platform 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.
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