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Solving the Search & Analytics Challenge on Cloud Storage at Scale

Blog post from ChaosSearch

Post Details
Company
Date Published
Author
Derek Schoettle
Word Count
506
Company Posts That Month
3
Language
English
Hacker News Points
-
Post removed?
No
Summary

The emergence of cloud computing has led to the growth of digital data from 40 Zettabytes in 2019 to 175 Zettabytes by 2025, with Cloud Object Storage being the most popular destination for enterprise data. However, searching and analyzing this data without moving it first poses significant challenges. To address this, CHAOSSEARCH has been developed to allow users to search their data at scale and with high performance within COS, eliminating the need for data movement, transformation, or schema management. The platform streamlines and automates data management in Amazon S3, discovering, cataloging, and indexing data regardless of size and type, accelerating the process of converting raw data into actionable insights. With CHAOSSEARCH, the complexity of rolling out a custom stack or ETL-ing to a paid service is eliminated, making it an attractive solution for organizations seeking to efficiently manage their data.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Data Pipeline 2 189 28 19 +200%
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