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Brief
Elastic

Elastic

Strong open-source community and ecosystem

elastic.coMountain View, California, USAFounded 2012

Last updated Apr 18, 2026 · Connections updated May 11, 2026

Industry
Search and Analytics Infrastructure / Observability
Business Model
B2B SaaS and Open-Source Commercial
Target Market
Enterprise and mid-market organizations requiring search, observability, and security analytics solutions across technology, financial services, retail, healthcare, and government sectors
Employee Count
1001-5000
Funding
public
API Available
Market Position

Elastic is recognized as a leader in the search and observability markets, competing strongly in SIEM, log analytics, and APM segments. The company has successfully transitioned from open-source project to publicly-traded enterprise software provider while maintaining strong developer community engagement. Elastic's technology is widely adopted across Fortune 500 companies and is considered foundational infrastructure for modern data-driven applications.

Overview

Elastic is a leading provider of search-powered analytics infrastructure solutions, best known for its flagship Elastic Stack (formerly ELK Stack) comprising Elasticsearch, Logstash, and Kibana. The company delivers enterprise-grade search, observability, and security solutions that enable organizations to extract actionable insights from massive volumes of structured and unstructured data in real-time. Elastic's distributed, RESTful search and analytics engine powers mission-critical applications across thousands of organizations worldwide, from e-commerce search experiences to security information and event management (SIEM) systems. Founded on the principles of open-source innovation, Elastic has built a robust ecosystem around its core search technology, expanding into adjacent markets including application performance monitoring (APM), log analytics, infrastructure monitoring, and security analytics. The company serves a diverse customer base spanning technology, financial services, healthcare, retail, and government sectors, providing both self-managed and fully-managed cloud solutions. Elastic's technology is designed to handle petabyte-scale data workloads with horizontal scalability, making it a preferred choice for organizations dealing with big data challenges. As a publicly-traded company, Elastic maintains a strong commitment to its open-source roots while offering commercial features and enterprise support through subscription-based licensing. The company's dual-licensing model balances community-driven innovation with sustainable business growth, positioning Elastic as a critical infrastructure provider in the modern data stack. With a global presence and a vibrant developer community, Elastic continues to innovate in areas such as machine learning-powered search, natural language processing, and cloud-native architectures.

Products & Features

Elasticsearch

Distributed, RESTful search and analytics engine built on Apache Lucene, providing real-time search, full-text search, and analytics capabilities at scale

Kibana

Data visualization and exploration platform for Elasticsearch, offering interactive dashboards, charts, maps, and analytics interfaces

Logstash

Server-side data processing pipeline that ingests, transforms, and sends data to Elasticsearch from multiple sources simultaneously

Elastic APM

Application Performance Monitoring solution providing real-time insights into application performance, distributed tracing, and error tracking

Elastic Security

SIEM and endpoint security solution for threat detection, investigation, and response, powered by machine learning and behavioral analytics

Elastic Observability

Unified observability solution combining logs, metrics, traces, and uptime monitoring for comprehensive infrastructure and application visibility

Enterprise Search

Workplace search solution enabling unified search across multiple content sources, applications, and repositories

Beats

Lightweight data shippers for sending operational data from servers to Elasticsearch or Logstash

Elastic Cloud

Fully-managed Elasticsearch service available on AWS, Google Cloud, and Azure with automated deployment, scaling, and management

Machine Learning Features

Built-in machine learning capabilities for anomaly detection, forecasting, and data frame analytics without requiring separate ML infrastructure

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