ChaosSearch - The Cloud Data Platform for Analytics at Scale

Elasticsearch Replacement for Log Analytics at Scale

Are open-source data solutions really as simple and cost-effective as they are purported to be? Find out how you can reduce costs up to 80% and increase system uptime.

Performance at Scale

Know Better™

Data lakes offer inexpensive storage but aren't built for high performance analytics. ChaosSearch turns your data lake into a hot analytics environment by indexing data in your S3 or GCS — without any data movement. Finally, all your data is fully searchable and available for analysis using existing data tools – with unlimited scale, industry-leading resiliency, and massive cost savings.

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Index and Learn from Cloud Data at Scale

ChaosSearch indexes your data as-is, for log, SQL and ML analytics, without transformation, while auto-detecting native schemas. ChaosSearch is an ideal replacement for the commonly deployed Elasticsearch solutions and Business Intelligence use cases.

100% Elasticity & Auto-Scalability from TBs to PBs

Quick Time
to Insights

High Availability & Durability (11 9s)

Multi-model Access for Logs, SQL, ML

Fully Managed & Zero Maintenance

No Data Movement & Analyze In-Place

No Sharding &
No Re-Indexing

Very Low Total Cost of Ownership

Elasticsearch, Logstash, and Kibana are trademarks of Elasticsearch B.V., registered in the U.S. and in other countries. Elasticsearch B.V. and ChaosSearch®, Inc., are not affiliated. Equifax is a registered trademark of Equifax, Inc.

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The Cloud Data Platform for Analytics at Scale

ChaosSearch helps organizations Know Better™. Realize the true promise of data lake economics for log analytics at scale, insightful product-led growth and agile BI.

Elasticsearch Replacement for Log Analytics at Scale

Know Better™

Index and Learn from Cloud Data at Scale

Use Cases

Elasticsearch Replacement

Security Operations

Cloud Operations

Embedded Analytics

SQL Analytics

Highlighted Resources

Market Guide for Analytics Query Accelerators

ChaosSearch Solution Brief

Estimating the TCO to Build and Operate an ELK Stack

Being able to push our data into an S3 bucket and then retain that data and then get anomaly detection on top of it, that’s something special and that unlocks a lot of ability for our teams.

Future-Proof Your Analytics at Scale