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Elastic(ESTC)

Leader#12 in Cloud & Infrastructure

NYSE-listed (ESTC) Elasticsearch creator at $1.42B revenue with search, observability, and SIEM; 21,000+ customers competing with Splunk and Datadog while powering AI RAG vector search infrastructure.

Best for: Search & ObservabilityMarket leader
75
AI Score
Grade B↑ Trending
AI Visibility Score (Beta)
Cloud & InfrastructureSearch & ObservabilityESTCWebsiteUpdated March 2026

Brand Intelligence Graphcompany

Integrates with
Capabilities
Search & Observability

Company Overview

About Elastic

Elastic N.V. is an Amsterdam-based enterprise search and observability company — the creator and primary commercial distributor of Elasticsearch, the world's most widely used open-source search engine — providing the Elastic Stack (Elasticsearch distributed search, Kibana visualization, Logstash data pipelines, Beats lightweight data shippers) for enterprise search, application observability, SIEM security analytics, and vector search for AI applications. Listed on NYSE (NYSE: ESTC), Elastic was founded in 2012 by Shay Banon and generated $1.42 billion in revenue in fiscal year 2025, serving 21,000+ customers including Microsoft, Verizon, and Spotify.

Business Model & Competitive Advantage

Elasticsearch's distributed inverted index architecture enables sub-second full-text search at petabyte scale — the foundation that powers search across Wikipedia, GitHub code search, Netflix content search, and Uber trip history. Elastic's commercial extensions add enterprise capabilities: Elastic Security (SIEM and endpoint protection competitive with Splunk and Microsoft Sentinel), Elastic Observability (unified logs, metrics, and traces for DevOps teams competing with Datadog and Dynatrace), and Elastic Search AI Platform (vector search and semantic search for AI applications using embeddings). The vector search capability has become a significant growth driver — Elasticsearch's kNN vector search enables semantic similarity search that underpins RAG (retrieval-augmented generation) pipelines for enterprise AI applications.

Competitive Landscape 2025–2026

In 2025, Elastic (NYSE: ESTC) competes in the search and observability market with Splunk (Cisco-acquired, dominant enterprise SIEM and log analytics), OpenSearch (AWS fork of Elasticsearch post-license change), and Datadog (NASDAQ: DDOG, observability) for enterprise search and analytics platform spending. AWS's OpenSearch fork (2021, after Elastic changed licensing to SSPL) created an open-source competitor that AWS hosts natively, pressuring Elastic's cloud revenue in the AWS customer base. Elastic's 2025 strategy focuses on Elastic Cloud (managed service across AWS, GCP, Azure), growing the AI Search use case with semantic vector search for enterprise RAG applications, and Elastic Security competing with Microsoft Sentinel for the SOC (security operations center) market.

Founded
2012
Headquarters
Amsterdam, Netherlands
Revenue
$1.42B
Curated content • Fact-checked and verified

The Elastic Story

Amsterdam, Netherlands
Founded by Shay Banon

The Breakthrough Moment

Elastic was founded in 2012 to commercialize Elasticsearch, the distributed search engine Shay Banon created in 2010. The company built the ELK Stack (Elasticsearch, Logstash, Kibana) becoming essential infrastructure for logging, search, and analytics, going public in 2018 and navigating complex open-source licensing battles with AWS.

Original Mission

"Make data usable in real-time and at scale through powerful search and analytics technology accessible to developers and enterprises."

Founders

Shay Banon

Recent Activity

View all →
blog_post
Stanford’s AI Index Report 2026 meets the security reality in financial services

AI is becoming core to financial services. But as adoption scales, so does risk. Without secure, real-time data, strong governance, and cyber resilience, AI can amplify threats as quickly as it drives innovation.

blog_post
Why the Elasticsearch Platform is the missing piece in your AI stack

Most enterprise AI initiatives stitch together four to five systems for memory, search, and state. The Elasticsearch Platform handles all of it in one engine — and the architecture is simpler than you think.

blog_post
1 year and 1 million messages later: Lessons learned building AI agents on the Elasticsearch Platform

After a year and one million messages, Elastic's Field Technology team shares five lessons from building production AI agents: why logs matter most, how retrieval thresholds shape quality, and what high token counts actually signal.

blog_post
Gauntlet: What happens when your agent's tools fight back

The Elasticsearch Agent Builder Hackathon spotlighted Gauntlet, a top-three project that uses mocking agents to mutate tool calls, expose hidden failures, and improve AI agent reliability.

blog_post
PHAROS: 4 agents, 60 seconds, 1 missed drug safety signal away from disaster

PHAROS is a 4-agent system built with Elasticsearch that automates pharmacovigilance. It detects adverse drug safety signals using WHO-standard analysis, generates regulatory reports, and sends critical alerts in under 60 seconds.

blog_post
Catching invisible errors: How I built a duplicate detection agent for Kenya's HIV program

A multi-agent duplicate detection system built with Elastic Agent Builder addresses the 56% failure rate of manual duplicate detection in Kenya's HIV patient records. It uses tiered risk scoring and specific recs to provide $195K annual savings.

blog_post
Elastic Stack 9.4.1 released

Version 9.4.1 of the Elastic Stack was released today. We recommend you upgrade to this latest version . We recommend 9.4.1 over the previous versions 9.4.0 For details of the issues that have been fixed and a full list of changes for each product in this version, please refer to the release notes .

blog_post
The Elasticsearch Agent Builder Hackathon

The Elasticsearch Agent Builder Hackathon showed AI agents built with Elastic tools to solve real-world problems. Winners include PHAROS (drug safety in <60s), Gauntlet (adversarial testing), and a duplicate detection agent for Kenya’s HIV program.

blog_post
Beyond debugging: How GenAI can turn logs into business intelligence

Logs have returned to center stage for observability with new capabilities given the emergence of generative AI. Find out how GenAI and logs can provide visibility and insights to manage your operations and improve business outcomes.

blog_post
From noise to knowledge: How GenAI is revolutionizing log management and analytics

Logs have returned to center stage for observability with new insights and information for your SRE team. Driving efficiency in your day to day operations is possible with GenAI applied to the richest telemetry signal available: your logs.

blog_post
How one partnership powers search for over 2 million WP Engine users

Discover how WP Engine innovates with Google Cloud and Elastic to deliver high-precision search and seamless integration for modern software vendors.

blog_post
Takeaways from Elastic’s Forge the Future Hackathon 2026 in Singapore

Elastic's 2026 Forge the Future Hackathon in Singapore captured how quickly AI is moving to agentic systems that can reason, recommend, and act. Learn how 77 participants came together to design and build AI agent solutions in just four hours.

Company Timeline

Major milestones in Elastic's journey

7
Total Events
1
Funding Rounds

Key Differentiators

Market Leader

Elastic is recognized as a market leader in the IT Operations & Observability sector, demonstrating strong industry presence and customer trust.

Enterprise Scale

With $1.42B in revenue, Elastic operates at enterprise scale with proven market validation.

Frequently Asked Questions

Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

75
↑ Trending

Based on estimated brand signals. Historical tracking coming soon.

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