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ChaosSearch + Databricks

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

Bringing Log Analytics to Databricks. Bringing AI/ML to Observability and Security via Databricks

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.

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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

ChaosSearch on stage at the Databricks Data+AI Summit

Watch as ChaosSearch CEO, Ed Walsh, shares the power of ChaosSearch in your Databricks environment. 

Delta Lake

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.

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