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CHAOSSEARCH

A cloud-native search analytics platform on object storage
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What is CHAOSSEARCH?

It is a cloud-native search analytics platform on object storage. It uniquely decouples storage from compute (zero local storage) and gives you an entirely new way to store, index, and execute your queries at any scale - from terabytes to petabytes and beyond! We enable you to streamline and automate your data management process within your own S3 account — no data movement, transformation, or schema definition.
CHAOSSEARCH is a tool in the Log Management category of a tech stack.

Who uses CHAOSSEARCH?

Developers
4 developers on StackShare have stated that they use CHAOSSEARCH.

CHAOSSEARCH Integrations

Slack, CloudFlare, Amazon S3, Amazon CloudFront, and Amazon VPC are some of the popular tools that integrate with CHAOSSEARCH. Here's a list of all 6 tools that integrate with CHAOSSEARCH.
Pros of CHAOSSEARCH
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Schema on read
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Great service
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Centralized data
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Reliability
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Scalability
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Kibana front end
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Search s3
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Compressed index size
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Lower cost then elasticsearch
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Managed service

CHAOSSEARCH's Features

  • Amazon S3 and Elasticsearch API support
  • Fully integrated Kibana visualization with enhancements
  • Backed by Amazon S3 — never move your data
  • Multi-user, SSO/OAuth
  • Alerting notification with webhook integrations
  • Enhanced query management with burst/cancel
  • Comprehensive customer dashboard for data analytics and tracking
  • Unlimited data retention and queries

CHAOSSEARCH Alternatives & Comparisons

What are some alternatives to CHAOSSEARCH?
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Logstash
Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
Logback
It is intended as a successor to the popular log4j project. It is divided into three modules, logback-core, logback-classic and logback-access. The logback-core module lays the groundwork for the other two modules, logback-classic natively implements the SLF4J API so that you can readily switch back and forth between logback and other logging frameworks and logback-access module integrates with Servlet containers, such as Tomcat and Jetty, to provide HTTP-access log functionality.
SLF4J
It is a simple Logging Facade for Java (SLF4J) serves as a simple facade or abstraction for various logging frameworks allowing the end user to plug in the desired logging framework at deployment time.
See all alternatives

CHAOSSEARCH's Followers
14 developers follow CHAOSSEARCH to keep up with related blogs and decisions.