
Live analytics on streaming data at scale
ChaosSearch is a fully managed log analytics and data lake platform that turns your existing cloud object storage (Amazon S3, Google Cloud Storage) into a hot, searchable analytical data lake. It offers Elasticsearch API and Kibana compatibility, SQL access, and unlimited retention without re-indexing, sharding, or data movement.
Query data using the familiar Elasticsearch API and visualize with Kibana, no code rewrites needed.
Indexes data directly in Amazon S3 or Google Cloud Storage so customers retain ownership and avoid data movement.
Keep all historical data hot and queryable without tiered storage or rehydration steps.
Run SQL, full-text search, and ML queries against the same indexed data through open APIs.
Automatically detects and maintains schemas as new data arrives, eliminating manual mapping work.
Create governed virtual views with role-based access controls to expose data to different teams without duplication.
Eliminates operational toil like sharding, re-indexing, load balancing, and capacity management.
Replace expensive hosted ELK or Splunk deployments while keeping all logs queryable in S3.
Run real-time security investigations across long-retention log data without rehydration.
Centralize application, infrastructure, and audit logs from large cloud environments.
Make existing S3 or GCS data lakes searchable for analysts using SQL and search APIs.
Deploy as SaaS or directly within the Databricks Lakehouse for unified analytics.
Keep years of log data hot for compliance and forensic analysis without storage tiering.

Search, observe, and protect your data at scale