The Data Lake Platform for Analytics at Scale

Know Better. Now you can, while realizing the true promise of data lake economics for log analytics at scale, insightful product-led growth and agile BI.

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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
scalable

Activate Your Data Lake and Know Better in Minutes

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.

Know Better

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

Use Cases

Elasticsearch Replacement

Reduce costs up to 80% and increase system uptime

DevOps Analysis

Deliver and maintain services, applications, and technologies

Cloud Log Analysis

Address threats and meet compliance requirements vital to running a business

Security Analysis

Monitor the cloud environments that support your systems and applications

App Log Data Integration

Turn Amazon S3 data export into S3 data observability for your customers

SQL Analysis

Perform ad hoc queries on S3 and GCP data using your existing tools

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.

Jeremy Foran
Head of Data Analytics at BAI Communications

Read the Case Study

Bai Communications