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ChaosSearch Releases Multimodel, Multicloud Data Lake Platform

Company expands beyond log analytics to support SQL on cloud platforms.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

ChaosSearch expanded its log analytics Data Lake Platform to deliver a multimodel, multicloud data lake for analytics and business intelligence. By adding support for SQL and leveraging the platform’s approach for indexing data and publishing open APIs, ChaosSearch enables users to derive value from data volumes residing in businesses’ own cloud environments. 

Businesses seeking to be data-driven are challenged by the deluge of data. The sheer volume of security, availability, log analytics, and other machine-generated data overwhelms current solutions. For business analytics, each new use case requires weeks or even months to set up; data is kept in silos limiting its usefulness to data consumers; data is stored with limited retention; and the need to migrate and manipulate data creates significant cost and compliance risks. 

The ChaosSearch Data Lake Platform connects to and indexes data within a customer’s own cloud storage environment, rendering it fully searchable and enabling data analytics with existing data tools, leveraging open APIs. The multimodel approach gives data-driven teams access to both log and BI data from the same platform, allowing organizations to democratize data insights with governance.

ChaosSearch indexes all data as-is, without transformation, while auto-detecting native schemas.  Businesses can analyze their data with their existing analytics tools.  ChaosSearch delivers:

  • Enhanced time to insight (minutes or hours, not days or weeks) with no data transformation or movement
  • Cost-effective performance at scale with one multimodel data lake on AWS or GCP and no infrastructure management
  • Business agility and full IT governance with auto discovery and schema detections; no data movement or scaffolding; store once and access anywhere
  • Access to data through users’ tools of choice, such as Tableau, Looker, Kibana, Grafana, or Elastic API

With ChaosSearch, businesses can perform scalable log analytics on AWS S3 and GCP, using the Elasticsearch API for queries, and Kibana for log analytics and visualizations. With ChaosSearch SQL API, clients can perform ad hoc queries on S3 and GCP data as well as deploy scalable business intelligence with tools including Looker, Tableau, and Metabase.

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