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Start here for the decision-making essentials: what ChaosSearch does, who it is for, how it is accessed, and the first-party sources behind this profile.
Starting at 30¢ per indexed GB, with significant discounts at scale
up to 80% less expens
ChaosSearch is a cloud-native SaaS log analysis platform that transforms AWS S3 and GCS into a live Search, SQL, and GenAI analytical database. It delivers ELK compatibility, unlimited hot retention, and consumption-based pricing for developers, engineers, and SecOps teams.
Read-only public captures of ChaosSearch’s homepage and verified pricing page. Screenshots are dated, never live embeds, and open full-screen.
Short answers to the questions buyers and builders commonly ask about ChaosSearch. Each answer cites the shared ledger below, where every source is listed once.
Transforms cloud storage into a live Search, SQL and GenAI analytical database · Chaos LakeDB is a Lake Database for Live Search, SQL, and GenAI Analytics · Transforms cloud object storage (AWS S3 & GCP) into a hot operational data lake for instan · Provides observability, security analytics, and user insights without retention limits in
ChaosSearch enables customers to transform cloud storage into a live Search, SQL and GenAI analytical database for operational and business use cases.
Developers and Engineers analyzing applications, infrastructure, and security data · Industry solutions for Managed Detection & Response, Financial Services, Education, Techno · SecOps teams
Developers and Engineers rely on ChaosSearch to gain timely insights into their applications, infrastructure, and security.
Operational and business analytics on streaming data, including log analysis · Replace ELK/OpenSearch · Complement Splunk · Reduce Datadog Costs
Operational & Business Analytics in real-time at PB scale in a single platform
Not available for embedded analytics or API-driven use cases
Not available for embedded analytics / API-driven use cases
Starting at 30¢ per indexed GB, with significant discounts at scale; up to 80% less expens · Consumption-based pricing — only pay for the compute used
Starting at just 30¢ per indexed GB, with significant discounts at scale, ChaosSearch is up to 80% less expensive than comparable solutions in the market.
Multi-model data access via Elasticsearch API and SQL API, plus Kibana and Superset UIs in · Open APIs for search and SQL queries
ChaosSearch offers multi-model data access to users via open APIs such as Elasticsearch and SQL, or via the Kibana and Superset UIs included natively
This profile connects the jobs ChaosSearch is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
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ChaosSearch | Live Analytics on Streaming Data at Scale
Transforms cloud storage into a live Search, SQL and GenAI analytical database · Chaos LakeDB is a Lake Database for Live Search, SQL, and GenAI Analytics · Cloud-native SaaS log analysis service
Transforms cloud storage into a live Search, SQL and GenAI analytical database
Operational and business analytics on streaming data, including log analysis
Developers and Engineers analyzing applications, infrastructure, and security data
Cloud-native SaaS log analysis service
Amazon S3 and Google Cloud Storage (GCS) as backing stores, with compute on AWS or GCP
Multi-tenant or dedicated SaaS environment using customer's own Amazon S3 or GCS bucket; no software or hardware to deploy
Starting at 30¢ per indexed GB, with significant discounts at scale; up to 80% less expensive than comparable solutions
ELK Stack compatible with integrated Kibana
Available on Databricks
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
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ChaosSearch announced an integration with Amazon Bedrock, bringing its log and event analytics capabilities together with AWS's generative AI service.
View source [1]Coverage described Chaos LakeDB as the first lake database combining live search, SQL, and GenAI analytics capabilities.
View source [1]ChaosSearch introduced Chaos LakeDB, described as the first lake database unifying live search, SQL, and generative AI analytics on object storage.
View source [1]ChaosSearch unveiled Chaos LakeDB, described as the first lake database for live search, SQL, and Gen AI analytics.
View source [1]EnterpriseAI covered ChaosSearch's introduction of Chaos LakeDB, described as a lake database combining live search, SQL, and Gen AI analytics.
View source [1]Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
These tools share a workflow, capability or audience with ChaosSearch. They may complement it rather than replace it, and are not presented as integrations or endorsements.
SOC2 Type 2 and HIPAA compliant; GDPR compliant; supports Business Associate Agreements (BAA)
ChaosSearch®, Inc.
Basic support included via email to support@ChaosSearch.com
Not available for embedded analytics or API-driven use cases
Supports all AWS and GCP regions; compute provisioned in same region as customer's S3 or GCS bucket
Chaos LakeDB is a Lake Database for Live Search, SQL, and GenAI Analytics
Transforms cloud object storage (AWS S3 & GCP) into a hot operational data lake for instant query and analysis
Provides observability, security analytics, and user insights without retention limits in real-time, assisted by GenAI
Replace ELK/OpenSearch
Complement Splunk
Reduce Datadog Costs
Enhance CloudWatch
Complement Grafana
Cribl Stream integration for log data ingestion, filtering, and routing to low-cost object storage
Amazon Bedrock integration announced November 27, 2023 for GenAI analytics
Databricks cloud alliance to bring ELK use cases to Databricks
Industry solutions for Managed Detection & Response, Financial Services, Education, Technology, Software & Technology, Retail & eCommerce, and Gaming
Scalable ELK-compatible log analysis platform
Security log analysis for SecOps teams
SecOps teams
Unlimited hot data retention for log analytics
Consumption-based pricing — only pay for the compute used
Complements existing SIEM, SOAR, and XDR threat detection and incident management systems
Multi-model data access via Elasticsearch API and SQL API, plus Kibana and Superset UIs included natively
Security-first architecture with SSO-based access control supporting SOC2, GDPR, and HIPAA requirements
Amazon Security Lake integration ingesting OCSF-formatted Apache Parquet security data from S3
Customer Success support via dedicated Slack channels and email, including setup, configuration, and tuning assistance
AWS S3 integration for analyzing S3 server access logs and bucket events
