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ChaosSearchChaosSearch delivers powerful, cost-effective search and SQL analytics on cloud object storage, ideal for modern data teams.

ChaosSearch indexes cloud object storage for performant search and SQL analytics, enabling cost-effective, scalable data analysis directly on S3, Azure Blob, and GCS.

Vendor
ChaosSearch
HQ
Cambridge, USA
Founded
2018
Pricing
Paid

What is ChaosSearch?

ChaosSearch indexes cloud object storage for performant search and SQL analytics, enabling cost-effective, scalable data analysis directly on S3, Azure Blob, and GCS.

Who is ChaosSearch for?

ChaosSearch suits teams and individuals with the following needs:

  • Log Analytics: Analyze large volumes of cloud logs without complex ETL pipelines for faster troubleshooting and security monitoring.
  • Data Lake Search: Enable fast, ad-hoc search and exploration of data residing in cloud object storage for business intelligence.
  • Cost-Effective BI: Run SQL queries directly on data lakes, reducing storage and processing costs compared to traditional data warehouses.
  • Security Incident Response: Quickly search and analyze security logs and event data stored in object storage during incident investigations.
  • IoT Data Analysis: Perform real-time analysis and search on streaming IoT data stored in object storage.

How does ChaosSearch work?

ChaosSearch works through a set of core capabilities:

  • Object Storage Indexing
  • SQL Interface
  • Full-text Search
  • Data Lake Analytics
  • Cloud-native Architecture
  • ETL-free Data Analysis
  • API Access

What does ChaosSearch cost?

ChaosSearch offers these pricing plans:

PlanPriceBest for
StandardCustomOrganizations needing performant search and SQL analytics on cloud object storage.
EnterpriseCustomLarge enterprises with advanced security, compliance, and support needs.

What are the pros and cons of ChaosSearch?

Pros
  • Indexes data directly on object storage
  • Cost-effective for large datasets
  • No data movement or ETL required
  • Supports SQL analytics
  • Scalable for growing data volumes
  • Fast search performance
Cons
  • Steeper learning curve than some BI tools
  • Relies on object storage costs
  • Can be complex to configure initially

What are ChaosSearch's limitations?

  • Requires AWS S3, Azure Blob, or Google Cloud Storage
  • Performance dependent on underlying object storage

How does ChaosSearch compare to Amazon OpenSearch Service?

FeatureChaosSearchAmazon OpenSearch ServiceSplunk Enterprise
Data SourceChaosSearchObject Storage (S3, Azure Blob, GCS)Object Storage (S3)Self-managed or cloud
Primary UseChaosSearchSearch and SQL on Data LakeLog Analytics and SearchLog Analytics
Data MovementChaosSearchNone (indexes in-place)Optional IngestionIngestion Required

What are the best alternatives to ChaosSearch?

How do I get started with ChaosSearch?

  1. Connect ChaosSearch to your cloud object storage bucket (S3, Azure Blob, GCS).
  2. Configure indexing jobs to process your data.
  3. Start querying your data using SQL or the search interface.
Open ChaosSearch

How can I use ChaosSearch with SynaBot?

SynaBot's AI assistants and prompt library pair naturally with tools like ChaosSearch. Use SynaBot to draft the strategy or content, then move the output into ChaosSearch for execution — or automate the flow with our AI consultancy service.

ChaosSearch indexes your cloud object storage for performant search and SQL analytics. It streamlines data analysis, making it cost-effective and scalable.

Frequently asked questions about ChaosSearch

What is ChaosSearch?

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ChaosSearch indexes your cloud object storage, enabling performant search and SQL analytics directly on your data. It allows cost-effective and scalable data analysis without moving data.

Is ChaosSearch free?

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ChaosSearch is a paid service. It offers customized pricing plans based on your data volume and usage needs. There is no free tier available.

What data sources does ChaosSearch support?

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ChaosSearch is designed to index data stored in major cloud object storage services, including Amazon S3, Azure Blob Storage, and Google Cloud Storage.

Does ChaosSearch require data movement or ETL?

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No, a key benefit of ChaosSearch is that it indexes data directly within your existing cloud object storage. This means no data movement or complex ETL processes are required.

What kind of analytics can I perform with ChaosSearch?

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You can perform both full-text search and SQL analytics on your indexed data. This allows for flexible querying, from simple searches to complex analytical aggregations.

How does ChaosSearch ensure cost-effectiveness?

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ChaosSearch is cost-effective by indexing data in place within your cloud object storage, eliminating the need for expensive data warehousing or separate processing layers. Its architecture is optimized for scalability and performance on large datasets.

What are the main benefits of using ChaosSearch?

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The main benefits include cost savings, simplified data analysis workflows, fast search performance, SQL query capabilities on data lakes, and improved scalability.