Elastic
Elastic helps organizations turn data into real-time business value by finding and delivering context wherever it lives. Its open Elasticsearch foundation powers Search, Observability, Security, and AI applications.
At a Glance
- Software developers and engineering teams
- Enterprises and digital-native companies
- IT operations, SRE, DevOps, and platform engineering
- Security operations centers, security teams, and government agencies
- +2 more
AI Tools by Elastic
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Elasticsearch
Distributed Search and Vector Database
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Latest News
Elastic introduced Elastic nightshift AI SRE for full-context investigation.
Elastic announced AlertZero, a team of specialized AI agents for the security-operations lifecycle.
Elastic was recognized as a Leader in the Gartner Magic Quadrant for Enterprise AI Search.
Elasticsearch 9.4 powered the next phase of the Elastic AI Ecosystem: Dell AI Data Platform with NVIDIA.
Products & Services
Distributed, RESTful search and analytics engine/search database for structured, unstructured, vector, time-series, geospatial, and telemetry data; supports full-text, semantic, vector, hybrid search, reranking, and real-time analytics.
Suite comprising Elasticsearch, Kibana, Logstash, Beats, and Elastic Agent for ingesting, storing, searching, analyzing, and visualizing data.
Fully managed, usage-based serverless deployment for Search, Observability, and Security.
Managed resource-based deployment of Elastic solutions across public-cloud infrastructure.
Market Position
Elastic positions itself as a single, open Elasticsearch-based platform spanning enterprise/AI search, observability, and security rather than separate point products. It competes with search and vector platforms such as OpenSearch, Solr, Algolia, Coveo, and Glean; observability vendors such as Datadog, Splunk, Dynatrace, and Grafana; and security/SIEM vendors such as Splunk, Microsoft Sentinel, CrowdStrike, and Palo Alto Networks.
Leadership
Founders
Shay Banon
Israeli software engineer and open-source search pioneer; created Compass and then Elasticsearch, and is Elastic's Founder and CTO.
Steven Schuurman
Co-founder; served as Elastic's CEO from 2012 to 2017 and is now a board director and private investor.
Uri Boness
Co-founder and early Elasticsearch/Elastic engineering and product contributor.
Simon Willnauer
Co-founder and early Elasticsearch engineer and Apache Lucene contributor.
Executive Team
Ashutosh Kulkarni
Chief Executive Officer
Elastic's former Chief Product Officer; previously Executive Vice President and Chief Product Officer at McAfee and senior leadership/general-management roles at Akamai, Informatica, and Sun Microsystems.
Shay Banon
Founder and Chief Technology Officer
Creator of Elasticsearch and former Elastic CEO; leads the company's technology and open-source direction.
Board of Directors
Founding Story
Shay Banon originally built search software for a recipe application for his wife, first developing Compass around Lucene and later rebuilding it as a distributed, scalable search engine. Elasticsearch was open-sourced before Banon, Schuurman, Boness, and Willnauer incorporated Elastic in Amsterdam in 2012 to build a company around the open-source project and make search and analytics broadly usable.
Business Model
Revenue Model
Subscription software and managed cloud services (Elastic Cloud Serverless and Hosted), self-managed subscription/licensing, and professional/support services. Serverless is usage-based; Hosted is resource-based; self-managed subscriptions are license-based by nodes and used RAM.
Pricing Tiers
Available for Search, Observability, and Security; Elastic offers a 14-day free trial with no credit card required.
Managed hosted deployment with subscription-dependent support tiers.
Pricing based on number of nodes and used RAM, with subscription/support options.
Target Markets
- Software developers and engineering teams
- Enterprises and digital-native companies
- IT operations, SRE, DevOps, and platform engineering
- Security operations centers, security teams, and government agencies
- E-commerce, media, financial services, healthcare, telecommunications, and public-sector organizations
- Organizations building enterprise search, AI applications, RAG systems, and agents
- Enterprise, website, application, product, and workplace search
- Vector search, semantic search, RAG, AI applications, and AI agents
- Application performance monitoring and full-stack observability
- Log, infrastructure, Kubernetes, cloud, and OpenTelemetry monitoring
- SIEM, threat hunting, endpoint security, fraud detection, and SOC automation
- Real-time analytics, data exploration, and operational dashboards
- Wells Fargo
- Chat Leap
- Brolly
- Lawrence Livermore National Laboratory