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From Start-Up ChaosSearch, Search and Analytics Platform for Cloud Storage

Patent-pending technology that unlocks cloud storage to rapidly search and analyze data within company's own Amazon S3 environment

ChaosSearch, Inc., creator of a solution to make cloud storage searchable, announced the availability of their search and analytics platform.

Chaosserarch Platform Diagram

Using scalable elasticity and disruptive cost economics, the company’s platform gives customers the ability to store, search and query all the data they need within their own Amazon S3 environment.

The firm’s platform delivers rapid search and analytics through a managed service, based on simple, elastic storage. As the data companies need to store grows, the current solutions and services available become more and more cost prohibitive and difficult to manage. This platform helps combat these challenges by eliminating the need to move or transform data into specific siloed databases vi a patent pending Data Edge technology that automates this process by indexing datasets with its built-in schema detection, normalization, and compression algorithms. Customers can dynamically and combine storage with indexing for live and historical analysis.

Deriving insight from data is critical-for a company and its customers,” said Andrew Kenney, VP, engineering, Klaviyo. “As a data science platform for e-commerce brands, we work with thousands of customers globally. It’s critical that we have fast, reliable access to all of our logs and event telemetry to allow us to make decisions faster. ChaosSearch is helping us improve the service we deliver.

Chaossearch Alternative Elk Graphic

Platform allows users to unlock data and query it in meaningful way.

Benefits include:

  • Fully-managed service based on Amazon S3 storage

  • No data movement or external storage of your data

  • Built-in data cataloging and organizing services for S3 management

  • One-click schema detection, normalization, and indexing at any scale

  • Data refinery console for advanced data transformations, no re-indexing

  • Elasticsearch compatible API with fully integrated Kibana visualization

  • Multi-tenancy and Account Management for optimized usage/capacity planning

  • Separation of storage from compute, enabling infinite data retention at any scale

The cloud has unleashed incredible complexity to data search, analytics, and management, causing organizations to face an ongoing tradeoff between storing the data they need and the astronomical costs associated with it,” said Thomas Hazel, founder and CTO, ChaosSearch. “We’ve taken a new approach that enables organizations to dramatically increase data scale while, at the same time, dramatically reducing infrastructure and operational costs of text search and relational analytics.

One of the most valuable and strategic assets an organization has is its data,” said Mike Leone, senior analyst, ESG. “However, the investment required to store, manage and access data quickly carries significant upfront infrastructure and ongoing operational costs that often limits the data an organization can analyze for potential insight. ChaosSearch offers a new approach to analytics and business intelligence with a disruptive model that lets customers make use of all of their data for better, faster insights.

About ChaosSearch
The firm is the creator of a solution to make cloud storage searchable. The platform enables organizations to store, search, query and visualize terabytes of data within their own S3 infrastructure with cost economics. It gives customers a multi-tenant, service-model designed to accelerate innovation and drive business growth. Founded in 2017, the firm is a privately-held, Boston, MA, company backed by .406 Ventures, Glasswing Ventures, and Stage 1 Ventures. It got $9 million in financial funding in November 2018 from .406 Ventures and Glasswing Ventures, with participation from existing investor, Stage 1 Ventures, investing $1 million in former round in 2017.

Blog: Announcing GA – Search and Analytics for the Cloud

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