Databricks
Databricks is not a legacy SIEM vendor; it positions its security offering as an open security lakehouse for ingesting, normalizing, querying, and retaining security telemetry at large scale. In the SIEM scope, it emphasizes open formats such as Delta Lake and Apache Iceberg, schema normalization with OCSF, and long-term retention in cloud object storage. It is best suited for buyers that want to centralize high-volume logs, reduce proprietary indexing costs, and keep data queryable for investigations and compliance workloads. Databricks also offers adjacent data-platform products, but the SIEM-relevant value is primarily log-centric analytics and retention.
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The Picari read
Databricks uses its lakehouse platform as a SIEM back end for log ingestion, OCSF normalization, retention, and SQL-based investigation. Its main differentiator is open-format storage in Delta Lake or Iceberg instead of proprietary SIEM indexing, which fits enterprises with large log volumes and long retention needs.
- Organizations seeking to modernize their security operations by centralizing high-volume security logs and telemetry in an open, scalable data lakehouse.
- Security log ingestion and aggregation.
- Advanced security analytics and threat hunting.
- Compliance reporting and long-term data retention.
- Building custom security detections and automation.
Product catalogue
Databricks pricing and integrations
For Databricks integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.
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Are you from Databricks? Verify this profileProfile last updated on 6 September 2026 by Picari.