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Elastic Company Overview

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Elastic

● Active
Software · San Francisco, California · Est. 2012
SearchObservabilitySecurityOpen SourceSaaS↗ Website
$9.1B
Valuation
$1.44B
Revenue
4k+
Employees
2012
Founded

Elastic N.V. is an open source search and observability company best known for the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash), used by thousands of organizations to search, analyze, and visualize data at scale. Its cloud-native Elastic Cloud platform powers enterprise search, security SIEM, and observability use cases for customers including NASA, Uber, and Goldman Sachs.

Recent Press
5 items
Product Launch·2026-01-15
Elastic Cloud Serverless Upgrade Delivers 50% Higher Indexing Throughput
Elastic upgraded its Cloud Serverless platform in January 2026 with up to 50% higher indexing throughput and lower search latency, alongside a new Logs Essentials low-cost tier for Elastic Observability customers.
Press Release·2025-11-19
Elastic Reports Q2 FY2026 Revenue of $423 Million, Up 16% Year-Over-Year
Elastic posted Q2 FY2026 revenue of $423 million (+16% YoY) with non-GAAP EPS of $0.64, beating the $0.59 analyst estimate, as enterprise AI search adoption drove strong cloud subscription growth.
Product Launch·2025-10-15
Elastic Launches Agent Builder and Inference Service for GPU-Accelerated AI Workloads
Elastic launched Agent Builder, a context engineering platform for AI agents, and the Elastic Inference Service for GPU-accelerated AI workflows, positioning Elastic as a core infrastructure layer for enterprise AI applications.
Acquisition·2025-08-20
Elastic Acquires Jina AI to Deepen Search and Retrieval Capabilities
Elastic acquired Jina AI to strengthen its semantic search and multimodal retrieval capabilities, complementing its existing vector search and relevance features for AI-powered enterprise search workloads.
Acquisition·2025-06-10
Elastic Acquires Keep to Add AIOps and Incident Response to Observability Platform
Elastic acquired Israeli startup Keep, an open-source AIOps platform for alert management and incident response, integrating its capabilities into Elastic Observability for enterprise IT operations teams.
Company History
8 milestones
Shay Banon founded Elasticsearch Inc. in Amsterdam to commercialize Elasticsearch, the open-source distributed search engine he had built as a personal project and released in 2010, raising a $10M Series A from Benchmark Capital.

Elastic Organization Structure & Team

Org Chart
3,800 employees · Click a leader to explore their team
4,150 across 12 departments
Chief Executive Officer
Ash Kulkarni
Janesh Moorjani — Departments
· 4150 people across 12 depts

Elastic Financials, Revenue & Market Share

Annual Revenue
$1.44B
+17% vs prior year
YoY Growth
+17%
From $861M to $1.44B
Revenue / Employee
$379K
Annual revenue per full-time employee
Revenue Growth
2021
2022
2023
2024
2025
$861M
$1.07B
$1.22B
$1.28B
$1.44B
Market Share
Enterprise Search & Analytics
11%
share
Elastic
11%
Splunk
22%
Datadog
18%
OpenSearch
8%
Microsoft Sentinel
14%
$120B
TAM
$28B
SAM
$1.44B
SOM
Revenue Streams
Elastic Cloud (SaaS)45%
Self-Managed Subscriptions48%
Professional Services7%
Business Units
Search AI Platform40%
Elasticsearch-based enterprise search, vector search, and RAG infrastructure powering application search and AI assistant use cases.
Elastic Observability30%
APM, logs, and metrics monitoring replacing Datadog and Splunk for DevOps and SRE teams using the Elastic Stack.
Elastic Security30%
SIEM, endpoint security, and threat hunting platform competing with Splunk SIEM and Microsoft Sentinel for SOC use cases.

Elastic Internal Tools & Processes

Internal Tools
12 departments
Engineering1400 people · 4 roles
Standards & Certifications
10 standards
Compliance frameworks, security audits, and quality certifications this company maintains.
Security
SOC 2 Type II
Certified
Elastic Cloud holds SOC 2 Type II certification, providing enterprise security and procurement teams independent verification that Elastic's managed Elasticsearch service meets rigorous security, availability, and confidentiality controls for hosted customer data.
Security
ISO 27001
Certified
Elastic's cloud infrastructure and development operations are ISO 27001 certified, ensuring systematic information security management for the search, observability, and security data of Elastic Cloud customers across AWS, Azure, and GCP.
Regulatory
FedRAMP Moderate
Certified
Elastic Cloud Government holds FedRAMP Moderate authorization, enabling US federal civilian agencies to use Elastic's SIEM, observability, and search capabilities for government data in compliance with federal cloud security requirements.
Privacy
GDPR
Compliant
Elastic complies with GDPR for EU customer data stored in Elastic Cloud, offering EU data residency regions, data processing agreements, and data subject rights tooling for personal data indexed in customer Elasticsearch deployments.
Privacy
HIPAA
Compliant
Elastic Cloud supports HIPAA-compliant deployments through a Business Associate Agreement, enabling healthcare organizations to index and search protected health information in Elasticsearch for clinical analytics and audit log use cases.
Security
PCI DSS
Compliant
Elastic Cloud supports PCI DSS compliance for customers indexing payment card transaction logs, enabling financial services companies to use Elastic Security for cardholder environment monitoring and audit trail search.
Security
ISO 27017
Certified
Elastic Cloud is ISO 27017 certified for cloud service security controls, covering multi-tenant Elasticsearch data isolation, admin access controls, and encryption of customer index data across Elastic's shared cloud infrastructure.
Privacy
ISO 27018
Certified
Elastic holds ISO 27018 certification for protection of personally identifiable information in public cloud, governing how PII indexed in Elastic Cloud customer Elasticsearch deployments is handled, accessed, and protected by Elastic's infrastructure.
Security
FIPS 140-2
Certified
Elastic Stack's cryptographic modules are FIPS 140-2 validated, enabling government and regulated industry customers to run Elasticsearch in environments requiring FIPS-compliant encryption for data at rest and in transit.
Privacy
CCPA
Compliant
Elastic complies with CCPA for California residents' data, providing enterprise customers with data deletion, portability, and opt-out tooling for personal data indexed in Elastic Cloud deployments under California privacy law.

Elastic Interview Preparation

Interview Prep
Role-specific interview questions and keywords. Select a department, then click any role to prepare.
Engineering· 4 roles

Elastic Products & Competitors

Product Suite
7 products · select one to explore
Software
AI
Elastic Search AI Platform
AI-powered search for enterprise applications and vector search

Elastic Search AI Platform combines traditional BM25 full-text search with vector search and semantic retrieval to power AI-native search experiences for enterprise applications. Developers use it to build RAG pipelines, semantic product search, and AI assistants that combine keyword precision with the contextual understanding of LLM-generated embeddings on a single Elasticsearch index.

Use Cases
Building a RAG application that combines Elasticsearch BM25 keyword search with kNN vector search for hybrid retrievalPowering a semantic product search engine using Elastic's ELSER sparse vector model for intent-aware e-commerce resultsCreating an enterprise knowledge base search assistant using Elastic's vector search with LLM reranking for contextual answers
No image
Key Customers
CMCSA
Comcast
ADSK
Autodesk
VZ
Verizon
Competitive Intelligence
VSPinecone
THEM

Pinecone is a fully managed vector database used by AI developers to store and query high-dimensional embeddings for semantic search, recommendation, and retrieval-augmented generation (RAG) applications.

EDGE

Mature hybrid search combining BM25 and vector on a single distributed index without maintaining two separate databases

VSWeaviate
THEM

Weaviate is an open-source vector database designed for storing and querying machine learning embeddings, enabling semantic search, recommendation, and generative AI applications with GraphQL and REST APIs.

EDGE

ELSER sparse embedding model provides semantic retrieval without requiring external embedding API calls

VSpgvector
THEM

pgvector is an open-source PostgreSQL extension that adds vector similarity search capabilities to Postgres databases, enabling developers to build AI search and retrieval features directly within their existing PostgreSQL infrastructure.

EDGE

Scales to billions of vectors with sub-second kNN latency on Elastic's distributed sharding architecture

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