Press release

CHAOSSEARCH Launches Industry-First Search and Analytics Platform for Cloud Storage

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Sponsored by Businesswire

CHAOSSEARCH,
Inc.
, creator of the first solution to make cloud storage
searchable, today announced the general availability of their
industry-leading search and analytics platform. Using scalable
elasticity and disruptive cost economics, the CHAOSSEARCH
platform gives customers the ability to store, search and query all the
data they need within their own Amazon S3 environment.

The CHAOSSEARCH platform delivers rapid search and analytics
through a managed service, based on simple, elastic storage. As
the data companies need to store grows exponentially, the current
solutions and services available become more and more cost prohibitive
and difficult to manage. The CHAOSSEARCH platform helps combat
these challenges by eliminating the need to move or transform data into
specific siloed databases via our patent pending Data Edge technology.
Data Edge automates this process by fully indexing datasets with its
built-in schema detection, normalization, and compression algorithms.
Customers can dynamically and seamlessly 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 at 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.”

The CHAOSSEARCH platform allows users to unlock their data and
query it in a meaningful way. Key benefits include:

  • Fully-managed service based on your Amazon S3 storage
  • No data movement or external storage of your private 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 at 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 at 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.”

To learn more about how the CHAOSSEARCH platform and its
industry-first storage, search and query capabilities can transform your
cloud storage, contact
us today
.

About CHAOSSEARCH
CHAOSSEARCH is the creator of the
first solution to make cloud storage searchable. The platform enables
organizations to store, search, query and visualize terabytes of data
within their own Amazon S3 infrastructure with disruptive cost
economics. CHAOSSEARCH gives customers a multi-tenant,
service-model designed to accelerate innovation and drive business
growth.

Founded in 2017, CHAOSSEARCH is a privately held, Boston, MA,
company backed by .406
Ventures
, Glasswing
Ventures
, and Stage
1 Ventures
. For more information, visit us at CHAOSSEARCH.io
or follow us @CHAOSSEARCH.