Elastic is a software company focused on search-powered AI, observability, and security. It positions itself as the Search AI Company and centers its portfolio on the Elasticsearch Platform, which helps organizations search, analyze, and act on structured and unstructured data in real time. Elastic supports both customer-facing and operational use cases, from AI search experiences to infrastructure monitoring and threat detection.
Elastic offers its technology through managed cloud, serverless, Kubernetes, and self-managed deployment models. Its portfolio combines core search and analytics technology with visualization, data ingestion, automation, and AI capabilities so teams can turn fragmented data into answers, workflows, and operational outcomes across search, observability, and security environments.
Offerings, Capabilities, and Integrations
Elastic combines distributed search, vector search, analytics, visualization, and machine learning in a unified platform architecture. Its capabilities support semantic and hybrid retrieval, real-time analytics, telemetry correlation, security analytics, alerting, investigation workflows, and AI-assisted troubleshooting and response.
Elastic supports broad interoperability through APIs, Elastic Agent, connectors, and open standards such as OpenTelemetry. It also provides prebuilt integrations for common cloud and enterprise data sources, along with deployment flexibility across hosted, serverless, Kubernetes, and self-managed environments. For AI-centric use cases, Elastic supports external model providers, agent protocols, and automation patterns that help teams embed Elastic into existing developer, operations, and security workflows.
Products and Services
- Elasticsearch: Elastic’s core distributed search and analytics engine and vector database for indexing, querying, and analyzing large volumes of structured and unstructured data in real time.
- Kibana: The user interface for querying, visualizing, analyzing, alerting on, and managing data stored in Elasticsearch.
- Elastic Agent Builder: A set of capabilities for building context-driven AI agents with native chat, tools, APIs, and support for agent integrations such as MCP and A2A.
- Elastic Workflows: A native automation engine in the Elasticsearch Platform that lets teams orchestrate actions and combine rule-based workflows with AI agents.
- AutoOps: A cluster operations utility that provides real-time issue detection, automated root cause analysis, performance recommendations, and cost insights for Elasticsearch environments.
- Elastic Cloud Serverless: A fully managed serverless deployment option that abstracts infrastructure management and automatically scales resources for Elasticsearch, observability, and security use cases.
- Elastic Cloud Hosted: Elastic-managed hosted deployments of the Elastic Stack on public cloud infrastructure, with centralized deployment and lifecycle management.
- Elastic Observability: A unified observability solution for logs, metrics, traces, user experience monitoring, profiling, and related operational analytics.
- Elastic Security: A unified security offering that brings together SIEM, XDR, endpoint security, and cloud security capabilities for threat detection, investigation, and response.
- Elasticsearch Relevance Engine: Elastic’s AI search toolkit for semantic search, hybrid search, vector retrieval, and generative AI application development.
- Elastic Cloud on Kubernetes: A Kubernetes operator for deploying, managing, and operating Elastic applications on Kubernetes environments.
- Elastic AI Assistant: A natural-language assistant embedded in Elastic workflows to help users investigate issues, interpret data, and accelerate observability and security tasks.
Target Customers
Elastic targets developers, architects, data engineers, and digital product teams that need to build search and AI applications on top of large, fast-changing data sets. It also serves DevOps, SRE, and IT operations teams that need unified visibility across applications, infrastructure, and cloud environments, as well as SOC teams, security analysts, and security administrators focused on threat detection and response.
Elastic is used by organizations that need to unify fragmented data across cloud, hybrid, and on-premises environments. Its industry focus spans sectors such as financial services, public sector, telecommunications, retail, manufacturing and automotive, healthcare, and technology, where search, operational resilience, and security outcomes are closely tied to business performance.
Cloud Integrations and Marketplace
- AWS Marketplace: Elastic Cloud is available through AWS Marketplace, allowing customers to procure Elastic with consolidated AWS billing and deploy managed Elastic services on AWS.
- Microsoft Azure Marketplace: Elastic has a verified Microsoft Azure Marketplace presence through its Azure Native ISV Service, enabling deployment from Azure with integrated marketplace billing.
- Google Cloud Marketplace: Elastic Cloud is available through Google Cloud Marketplace and related Google Cloud commercial channels for deploying Elastic on Google Cloud with aligned cloud purchasing.
Key People
- Ashutosh Kulkarni: CEO
- Shay Banon: Founder and CTO
- Chetan Puttagunta: Chairman and Director
- Navam Welihinda: Chief Financial Officer
- Mark Dodds: Chief Revenue Officer
- Ken Exner: Chief Product Officer
- Rick Laner: Chief Customer Officer
- Carolyn Herzog: Chief Legal Officer
- Joanna Daly: Chief Human Resources and IT Officer
- Jane Bone: Chief Accounting Officer
Key Facts
- Headquarters: San Francisco, California, United States
- Employees: 3,537 employees
- Annual Revenue: $1.483 billion
- Parent Company: None
- Subsidiaries: About 12 subsidiaries, including Elastic International B.V., Elastic Worldwide B.V., Elasticsearch, Inc., Elasticsearch Federal Inc., and Endgame, Inc.
- Publicly Listed: NYSE: ESTC
Analyst Recognitions
- Gartner: Gartner Magic Quadrant for Observability Platforms — Leader (2025). Gartner Magic Quadrant for Security Information and Event Management — Visionary (2025).
- Forrester: The Forrester Wave: Security Analytics Platforms, Q2 2025 — Leader. The Forrester Wave: Cognitive Search Platforms, Q4 2025 — Leader.
- IDC: IDC MarketScape: Worldwide Observability Platforms 2025 Vendor Assessment — Leader. IDC MarketScape: Worldwide Extended Detection and Response (XDR) Software 2025 Vendor Assessment — Leader. IDC MarketScape: Worldwide General-Purpose Knowledge Discovery 2025 Vendor Assessment — Leader.
