Unified Live Data Lakehouse with ChaosSearch on Databricks
ChaosSearch, as a Databricks Technology Partner, brings ELK use cases to Databricks ecosystem enabling centralized log and event analytics for observability and security
ChaosSearch + Databricks
Deliver on the best of Databricks (open Spark-based data lakehouse) and ELK (efficient search, flexible live ingestion, API/UI) via ChaosSearch on Databricks.
Log analytics for observability / security with unlimited retention at a fraction of the cost now with Databricks’ AI/ML.
Create a Unified Live Data Lakehouse
Break from silos and create a single data lakehouse, now supporting flexible live analytics via Elastic API / Opensearch Dashboards
Flexible Ingest and Query on Live Data
ChaosSearch was built to handle the complexities of live JSON - nested arrays, schema evolution, efficient live ingestion. Now available on Databricks
Observability + Security at fraction of cost
Lakehouse architecture overcomes cost, manageability, reliability, retention and scalability issues with other observability / security solutions
Fully Open and Integrated with Databricks
Data ingested into Delta Lake format, all compute in Spark via Databricks and with the best of ChaosSearch’s hunting and Databricks’ AI/ML
Databricks Open Format Support
Native Spark Support via Databricks
Native Integration with Databricks Platform
Databricks Technology Partner - Open and Databricks Native
ChaosSearch natively supports Delta Lake and Spark on Databricks, creating a seamless experience in the Databricks platform.
Future-Proof Your Analytics at Scale
