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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

Check out our 2 minute demo of ChaosSearch running on Databricks

Delta Lake

Databricks Open Format Support

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Native Spark Support via Databricks

 

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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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ChaosSearch on stage at the Databricks Data+AI Summit

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