ChaosSearch helps modern organizations Know Better™ by activating the data lake for analytics. The ChaosSearch Data Lake Platform indexes customers’ cloud data, rendering it fully searchable and enabling analytics at scale with massive reductions of time, cost and complexity. ChaosSearch was purpose-built for cost-effective, highly scalable analytics encompassing full text search, SQL and machine learning capabilities in one unified offering. The patented ChaosSearch technology instantly transforms your cloud object storage (Amazon S3, Google Cloud Storage) into a hot, analytical data lake. Whereas other solutions require dedicated data scientists, engineers and DBAs to manage complex data pipelines and massive ETL data movement between siloed databases, ChaosSearch indexes all data as-is, while auto-detecting native schemas and optimizing for both data size and performance. ChaosSearch reduces data prep time from weeks to minutes through virtual views, presented to data consumers via open APIs (Search, SQL, ML) with full governance and role-based access controls. Users continue working in the tools they know and trust, such as Kibana, Looker, and Tableau. With its revolutionary approach delivered in a fully managed service, ChaosSearch overcomes the cost and complexity of competitive solutions, delivering unlimited scalability, industry-leading resiliency, and massive time and cost savings. Based on these capabilities, ChaosSearch is an ideal replacement for the commonly deployed Elasticsearch (ELK) stack. With ChaosSearch, customers can perform scalable log analytics on AWS S3 or GCS, using the familiar Elasticsearch API for queries, and Kibana for log analytics and visualizations, while reducing costs and improving analytical capabilities.