What does Chaos Search do?

ChaosSearch offers a live analytics platform that turns cloud object storage into a searchable data lake using Elasticsearch-compatible tools.

Who are Chaos Search's investors?

Chaos Search's investors include .406 Ventures, Stage 1 Ventures, Stripes, Glasswing Ventures.

Chaos Search

Founded 2017 · 10 employees on LinkedIn · 4 known investors

ChaosSearch is a data platform that indexes and analyzes large-scale data using a novel compression-optimized format designed for cloud object storage. It serves organizations looking to perform cost-efficient analytics on data lakes without traditional sharding or block storage requirements.

Also known as ChaosSearch · ChaosSearch, Inc.

AI & Machine Learning Cloud Computing Data & Infrastructure Enterprise Software

Investors · 4

.406 VenturesBoston · $1M – $4M

Stage 1 VenturesCoconut Grove

StripesNew York

Glasswing VenturesreportedBoston · $100K – $5M

Company profile

researched Aug 2026

ChaosSearch, Inc. provides an analytics platform that lets organizations query data stored in cloud object storage without moving or transforming it first. Data is streamed into the customer's own cloud storage, where the platform automatically detects and maintains data formats and schema, producing what the company calls a unified live data lake with unlimited retention. Analytics are exposed through native Elasticsearch query capabilities, APIs and tooling, so teams can retain existing ELK-based workflows while relying on object storage for scale, cost efficiency and durability, as well as through SQL and generative AI/ML interfaces.

The platform is positioned as a single analytical database spanning operational and business use cases, including log analytics, observability, security and user insights, at petabyte scale. Its product components include Chaos LakeDB, which the company presents as simplifying data ingestion, schema creation and management of dynamic or difficult data sets. ChaosSearch markets claimed savings of 50-80% versus alternative architectures, along with reduced management overhead and simplified architecture.

Business model

ChaosSearch sells its analytics platform to enterprises, with published pricing and two deployment options: a SaaS offering and a deployment inside Databricks. Data remains in the customer's cloud object storage.

Traction

Publicly referenced customers include Cisco, Equifax, Revinate, Cloud Imperium Games, and an AWS executive comment on Chaos LakeDB with Amazon S3.

▸Full profile — market position, technology, go-to-market

Market position

ChaosSearch positions its platform as an alternative to Elasticsearch/ELK deployments for log and event analytics, and as a way to bring log analytics into the Databricks lakehouse environment.

The company emphasizes analyzing data in place in cloud object storage with no data movement or transformation, automatic schema detection, unlimited retention, compatibility with existing Elasticsearch tooling, and claimed cost savings of 50-80% with reduced operational management.

Technology

The platform ingests streaming data into cloud object storage and automatically detects and maintains data formats and schema, making data queryable without prior transformation or movement. It exposes native Elasticsearch query APIs and tooling alongside SQL, machine learning and generative AI analytics, and supports unlimited data retention at petabyte scale. Chaos LakeDB is the database component underpinning ingestion, schema creation and management.

Go-to-market

Enterprises with large-scale log and event data, particularly observability, security, SRE and business analytics teams, including organizations running or migrating away from ELK stacks. Named references include Cisco, Equifax, Revinate and Cloud Imperium Games.

Compiled by commissioned research from 1 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported

Claimed cost savings vs. alternative architecturesJan 202450-80%

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Competitors · 10

by search overlap

Netezza531 shared keywordsIBM is a global technology company whose business spans enterprise software (including Red Hat, HashiCorp, and Confluent), IT infrastructure such as mainframes, servers, and storage, and IT consulting services. The company is also investing heavily in quantum computing and AI-based enterprise offerings, including its Lightwell open-source software security clearinghouse and the Anderon quantum wafer foundry.

Elastic290 shared keywordsElastic develops search-powered software for enterprises, offering products for search, observability, and security built on Elasticsearch. The company positions its technology to help organizations use their data for AI applications.

Splunk257 shared keywordsSplunk offers a unified platform for security and observability that ingests and analyzes large-scale data across hybrid cloud environments. Its tools support security operations centers with analytics and automated response, and help teams monitor application and infrastructure performance.

Crowdstrike241 shared keywordsCrowdStrike provides an AI-native cybersecurity platform that unifies endpoint, identity, cloud, SaaS, and AI protection to detect and stop breaches for enterprise organizations. It combines automated response with human-led security operations including managed detection and response, threat hunting, and security services.

Databricks177 shared keywordsDatabricks provides a unified platform for data engineering, analytics, and artificial intelligence, enabling organizations to build and deploy data and AI applications on cloud infrastructure.

Sentinel One166 shared keywordsSentinelOne provides an AI-powered cybersecurity platform for enterprises that integrates endpoint protection, threat detection, and incident response capabilities. The company serves large enterprises, including many Fortune 500 organizations, to protect against cyber threats at scale.

Datadog160 shared keywordsDatadog is a cloud-based monitoring and security platform that provides observability, analytics, and protection for infrastructure, applications, and data across enterprises. The platform serves development, security, and operations teams managing cloud-native and hybrid environments.

Logz Io159 shared keywordsLogz.io operates a platform for observability and monitoring, serving technology companies and enterprises that need infrastructure insights and operational intelligence.

Coralogix155 shared keywordsCoralogix provides an observability platform that analyzes real-time telemetry with AI-powered investigation and cost controls for engineering teams. Its offering targets modern engineering and DevOps teams, including those running AI infrastructure, and was named a Leader in Gartner's 2026 Magic Quadrant for Observability Platforms.

Exabeam151 shared keywordsExabeam provides a security operations platform that ingests logs and telemetry from multiple point solutions, enriches data with behavioral analytics, and correlates alerts to deliver threat detection and investigation capabilities for security teams. The platform integrates with SIEMs and third-party security tools through open API standards and automation workflows.

Companies competing with Chaos Search for the same Google search keywords, organic and paid, via search-intersection analysis.

▸Research sources · 1

primary sources listed

Chaos Searchchaossearch.io · web

1 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Chaos Search do?: ChaosSearch offers a live analytics platform that turns cloud object storage into a searchable data lake using Elasticsearch-compatible tools.
Who are Chaos Search's investors?: Chaos Search's investors include .406 Ventures, Stage 1 Ventures, Stripes, Glasswing Ventures.