Elastic

Category: Search & Discovery

Company: Elasticsearch B.V.

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Elastic provides powerful search and discovery solutions for both B2B and B2C organizations. It enables advanced site search, product discovery, and enterprise search capabilities, allowing users to quickly find relevant information across diverse data sources.

Founded: 2012

Target Market: B2C

Industries: Technology & Software, Financial Services & Banking, Healthcare & Life Sciences, Retail & E-commerce, Media & Entertainment, Telecommunications, Manufacturing, Professional Services

Key Features

AI-generated feature reference from web research · Generated 2026-07-31; citations identify available source support and do not independently verify every claim.

Multimodal Search & Retrieval

Index and search text, images, audio, and video in a unified embedding space across 119 languages.

Sources: https://elastic.co

Generative AI-Enhanced Results

Combine retrieval with LLMs to produce contextual, generative answers alongside ranked search results.

Sources: https://elastic.co

Enterprise Observability Platform

Collect, analyze, and correlate logs, metrics, and traces for fast troubleshooting and performance monitoring.

Sources: https://elastic.co

Security Analytics & Automation

Detect, investigate, and respond to threats using AI-driven analytics and native scripted playbooks for automation.

Sources: https://elastic.co

Agent Builder for AI Agents

Create context-aware AI agents that operate on your Elasticsearch data with guided agent-building tools.

Sources: https://elastic.co

API-First, Open Architecture

Offer RESTful APIs and open integrations for embedding search, observability, and security into enterprise stacks.

Sources: https://elastic.co

Flexible Deployment Options

Run locally, on managed cloud (AWS/GCP/Azure), or on-prem for air-gapped environments with consistent features.

Sources: https://elastic.co

Website: https://elastic.co

Frequently asked questions

What is Elastic?

Elastic is a software platform centered on Elasticsearch that provides distributed search and analytics capabilities for building search, observability, and security solutions. It offers cloud and self‑managed deployment options and combines search with machine learning and generative AI integrations to surface relevant results across text, images, audio, and video.

Sources: https://elastic.co, https://elastic.co/platform

What are its key features?

Key features include a distributed search engine (Elasticsearch) with RESTful APIs, generative AI and embedding support for multimodal search, unified observability and security analytics with AutoOps for Elasticsearch, and open‑source flexibility for on‑prem and cloud deployments. The platform also provides automation (Elastic Workflows/Agent Builder), fast onboarding for SIEM use cases, and managed or local start options to accelerate deployments.

Sources: https://elastic.co/platform, https://elastic.co/platform/autoops

Who are its primary competitors?

Primary competitors in the search and discovery category include Coveo, Klevu, Searchspring, AddSearch, Glean, Typesense, Doofinder, and Hawksearch. These vendors offer alternative site search, product discovery, or enterprise search solutions aimed at similar customer needs.

Sources: https://elastic.co, https://elastic.co/about

What industries and types of companies often use Elastic?

Elastic is commonly used by enterprise organizations across technology & software, financial services and banking, healthcare and life sciences, retail and e‑commerce, media and entertainment, telecommunications, manufacturing, and professional services. Deployment options target enterprise customers needing scalable search, observability, or security across large and diverse data sources.

Sources: https://elastic.co, https://elastic.co/pricing