Brand Intelligence Graphcompany
Company Overview
About Elastic NV
Elastic N.V. is a technology company best known for Elasticsearch, the world's most widely deployed search and analytics engine, headquartered in San Francisco, California. Founded in 2012 by Shay Banon, Elastic went public on NYSE in 2018. The company reported $1.7B in revenue for fiscal year 2025 (ending April 2025), up 17% year-over-year, serving customers across observability, security, and vector search for AI applications.
Business Model & Competitive Advantage
Elastic's platform consists of Elasticsearch (search and analytics), Kibana (visualization), Logstash (data ingestion), and Beats (data shippers) — together forming the "ELK Stack," one of the most widely used open-source technology stacks globally. Elastic Cloud runs on AWS, Google Cloud, and Azure and is the primary revenue driver. Enterprise use cases span log analytics and observability, security information and event management (SIEM), and vector search for AI applications.
Competitive Landscape 2025–2026
Elastic has emerged as a significant player in the AI era through vector search and Retrieval-Augmented Generation (RAG). As enterprises build AI applications that retrieve relevant context from large datasets, Elasticsearch's hybrid search capabilities make it a competitive alternative to dedicated vector databases like Pinecone and Weaviate. Elastic's ESRE (Elasticsearch Relevance Engine) integrates directly with LLMs. Key customers include Uber, Slack, Adobe, NASA, The New York Times, and thousands of enterprises globally.
Recent Activity
View all →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.
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.
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.
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.
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 .
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.
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.
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.
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.
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.
Discover how WP Engine innovates with Google Cloud and Elastic to deliver high-precision search and seamless integration for modern software vendors.
With the launch of Elasticsearch 9.4, we are reaching an important milestone: the general availability of our joint offerings with NVIDIA and Dell and a major step forward in helping enterprises move from AI experimentation to scaled implementation.
Key Differentiators
Market Leader
Elastic NV is recognized as a market leader in the Data & Analytics sector, demonstrating strong industry presence and customer trust.
Enterprise Scale
With $1.7B in revenue, Elastic NV operates at enterprise scale with proven market validation.
Top 3 Ranked
Ranked #2 in the Data & Analytics category, consistently recognized for excellence.
Frequently Asked Questions
Estimated Visibility Trend (Beta)
Simulated 8-week rolling score
Based on estimated brand signals. Historical tracking coming soon.
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