ChaosSearch: Live Analytics Database
ChaosSearch supports observability and security teams in analyzing streaming data. It is designed for organizations that need to manage large-scale log and event data with high retention requirements.
At a glance
- Category
- Browse Data & Analytics tools
- Best for
- Mid-market companies, Enterprise companies, Data teams, Security operations teams, Observability engineers
- Pricing
- Pricing is usage-based. Options include $0.30 per GB for unlimited retention or $0.15-$0.30 per ingested GB. SaaS deployments include a $3,000 per tenant-region monthly fee.
- Key use cases
- Security Monitoring, Observability, User Insights, Log Data Management
- Integrations
- Amazon S3, Amazon Security Lake, Databricks, Google Cloud, Amazon Bedrock
- Official website
- Visit chaossearch official website
ChaosSearch is a live analytics database designed to transform cloud storage into a unified data lake. It supports Search, SQL, and GenAI analytics on data stored in the cloud, which may reduce the need to move or transform data before access.
The platform is intended for data teams, security operations, and observability leads managing large datasets. It supports the consolidation of log and event data, helping teams maintain historical context by leveraging cloud storage for unlimited retention.
Buyers should confirm if their data volume and ingest rates align with the available pricing models, as the platform includes specific costs for SaaS deployment per tenant-region.
Key Features
Live Search and SQL
Supports performing both search and relational analytics on live data.
Automatic Schema Detection
Designed to detect and maintain data formats and schemas during ingestion.
GenAI Analytics
Includes a natural language assistant to support data analysis.
Unlimited Retention
Supports storing and querying historical data using cloud storage as the backend.
Dynamic Mapping
Handles flexible data formats, such as nested JSON fields, without manual schema management.
Stateless Auto-scalable Fabric
Uses a compute layer that scales based on ingestion and querying needs independently of storage.
Use Cases
Security Monitoring
Consolidating log and event data to support security analysis and threat detection.
Observability
Using analytics to monitor system health and operational performance in real time.
User Insights
Analyzing streaming data to identify user behavior and patterns.
Log Data Management
Managing high-volume logs by leveraging a cloud data lake architecture.
Best For
- Mid-market companies
- Enterprise companies
- Data teams
- Security operations teams
- Observability engineers
Integrations
- Amazon S3
- Amazon Security Lake
- Databricks
- Google Cloud
- Amazon Bedrock
- AWS AppFabric
- AWS CloudTrail
- Cloudflare
- Cribl
Pricing
Pricing is usage-based. Options include $0.30 per GB for unlimited retention or $0.15-$0.30 per ingested GB. SaaS deployments include a $3,000 per tenant-region monthly fee.
FAQ
What is ChaosSearch used for?
- It transforms cloud storage into a live analytics database, supporting Search, SQL, and GenAI analytics for operational and business use cases.
Who is the target audience for ChaosSearch?
- It is designed for data, security, and observability teams in mid-market and enterprise organizations.
How does ChaosSearch handle data schemas?
- The platform uses automatic schema detection and dynamic mapping, which may reduce the need for manual schema management.
What are the pricing options for ChaosSearch?
- ChaosSearch offers ingest-based pricing (starting at $0.15-$0.30 per GB) and worker-based pricing, with a $3,000 per tenant-region monthly fee for SaaS deployment.
Source category: Data & Analytics
Source subcategory: Database
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Categories
Software Type
How AI is used
ChaosSearch is a live analytics database for data teams that enables Search, SQL, and GenAI analytics on cloud storage. It supports observability and security workflows by allowing for unlimited data retention. Buyers should account for the monthly per-tenant fee for SaaS deployments.
Pros & Cons
Pros
- Supports unlimited data retention by leveraging cloud storage.
- May reduce manual setup work through automatic schema detection and dynamic mapping.
- Provides a unified interface for both Search and SQL queries.
- Separates compute from storage via a stateless fabric.
Cons
- SaaS deployment includes a fixed monthly cost per tenant-region in addition to usage fees.
- Requires technical expertise to implement and manage.
- Onboarding and setup support details are not explicitly provided in the evidence.
