ChaosSearch 2.0 Introduced
May 06, 2020
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ChaosSearch announced its next-generation platform, ChaosSearch 2.0, a data lake engine for scalable log analysis.

ChaosSearch 2.0 instantly turns a company’s own cloud data lake into a hot, robust, streamlined analytics engine that speeds time-to-insights and cuts log analysis costs by up to 80 percent. It uniquely enables companies to analyze petabytes of data without adding compute or performing complex, labor-intensive processes, and without limiting data retention.

According to Thomas Hazel, Founder and CTO of ChaosSearch, “ChaosSearch 2.0 takes a completely different, entirely new approach. Built from the ground up to achieve the true promise of cloud data lakes, ChaosSearch makes it as easy for customers to get insights out of their lake as it is to dump data into it. While other solutions require DBAs and data engineers to set up new workloads, extract data from storage, manually transform it, and then load it into a vendor’s analytic database, ChaosSearch 2.0 customers simply stream any amount of data into their own Amazon S3 data lake, where our solution automatically transforms and analyzes it. Our distributed architecture and proprietary indexing and compression technologies enable businesses to gain new and better insights, quickly and at a fraction of the cost.”

ChaosSearch 2.0 Advantages

● Fast Time-to-Insights

○ New workloads within 5 minutes versus weeks and months

○ High performant/automated indexing within your cloud storage

○ Search Analytic API(s)/visualization directly from your cloud storage

○ Fully indexed data sources provide compression ratios upwards of 90%

○ Unlimited retention, driving insights not possible with other solutions

● Fully Managed

○ Zero system management: ChaosSearch 2.0 is a fully managed SaaS

○ Zero data movement or ETL: ChaosSearch 2.0’s in-place Chaos Refinery

○ Chaos Refinery automates clean, prep, and transformation with virtual views

● Disruptively Priced

○ Up to 80% less expensive than other log analysis solutions, including ELK Stack implementations, due to breakthrough index technology and architecture

○ Scales from gigabytes to petabytes of data instantly, without cost or complexity

● Highly Secure

○ Zero vendor storage: Customers own their data, 100% within their own cloud storage

○ Fine grained Role-based Access Control (RBAC) across all data sources and users

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