Elastic Cloud
Elastic Cloud is the managed delivery surface of the Elastic Search AI Platform, built on open source Elasticsearch and serving enterprise customers across Search, Observability, and Security with embedded AI agents, vector retrieval, and GPU inference.
- Company typePrivate
- Founded-
- HeadquartersMountain View, United States
- Headcount—
- GTM typeB2B
- OfferingSoftware
What Elastic Cloud does
Elastic Cloud is the managed cloud delivery surface of the Elastic Search AI Platform, built on Elasticsearch — an Apache 2.0 open source, distributed search and analytics engine based on Apache Lucene that stores and queries structured, unstructured, and vector data in real time. The platform unifies three solution areas: Enterprise Search (ecommerce, site, customer support, and search-driven applications), Observability (logs, metrics, APM, infrastructure monitoring, AIOps, and LLM observability), and Security (SIEM, XDR, endpoint, and threat hunting). Underlying capabilities include the Elasticsearch Vector Database with hybrid lexical/vector search and Better Binary Quantization (up to 95% memory reduction), the Elastic Agent Builder for context-aware AI agents, Elastic Workflows for scripted and AI-driven automation, Elastic Streams for AI-driven log processing, ES|QL piped query language, Elastic Inference Service for GPU-powered model serving, and Jina AI retrieval models (embeddings, rerankers, document extraction, multimodal v5-omni) now native to the platform.
The business model is subscription-based and recurring across three deployment modes: Elastic Cloud Serverless (zero-operational-load fully managed offering), Elastic Cloud Hosted (deployments on AWS, Google Cloud, and Azure), and self-managed on-premises or Kubernetes deployments with Platinum and Enterprise support tiers. Revenue streams include cloud subscriptions, self-managed licenses, tiered support contracts (Limited, Base, Enhanced, Premium), professional services, and paid instructor-led training. Go-to-market combines product-led growth (14-day free trial, self-serve onboarding in under two minutes), direct enterprise sales with architecture review and AI strategy consulting, a global partner channel of distributors, VARs, OEM and MSP partners, system integrators such as Kyndryl, and listings on AWS, Azure, and Google Cloud marketplaces. Customer segments span enterprise organizations, developers, and verticals including financial services, manufacturing, public sector, retail/e-commerce, telecommunications, and security operations; cited customer logos include Comcast, Adobe, Docusign, IBM, BBVA, Discover, Telefonica, Waitrose, Porsche Informatik, PepsiCo, Bank BRI, EY, GitHub, Stack Overflow, and Lawrence Livermore National Laboratory.
Elastic Cloud firmographics
Firmographics- Name
- Elastic Cloud
- Legal name
- elasticsearch B.V.
- Website
- https://elastic.co
- Company type
- Private
- Operating status
- Operating
- Short description
- Elastic Cloud is the managed delivery surface of the Elastic Search AI Platform, built on open source Elasticsearch and serving enterprise customers across Search, Observability, and Security with embedded AI agents, vector retrieval, and GPU inference.
- Ownership category
- akta.pro rank
Elastic Cloud industry classification
Industry- Product category
- Cloud Search and Analytics Platform
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Computer Systems Design and Related Services (54151), Computer Facilities Management Services (541513)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Cloud Managed Services (Operations, Monitoring, Patching) (BPAEACAF)
- akta.pro secondary industries
- Multi-Cloud & Hybrid Cloud Enablement (BPAEACAK), Cloud-Native Development (Containers, Kubernetes, Microservices) (BPAEACAD), Cloud Operations Outsourcing (Cloud Managed Operations) (BPAEAMAC), Integration & Messaging Platforms (API Gateway, Queues, Event Bus) (HDABAAAG)
Keywords
Where Elastic Cloud is headquartered
LocationHeadquarters
- HQ city
- Mountain View
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Elastic Cloud business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Elastic Cloud Subscriptions: Cloud-hosted fully managed deployment on AWS, GCP, or Azure with tiered support levels (Limited, Base, Enhanced, Premium).
- Self-Managed Subscriptions: On-premises or self-hosted Elasticsearch deployments with Platinum and Enterprise support tiers.
- Professional Services and Consulting: Custom support and consulting services for deployment, migration planning, and AI strategy.
- Training: Free on-demand and paid instructor-led courses to help users become Elastic experts.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Limited Support (Cloud) |
| Subscription | Monthly | Base Support (Cloud) |
| Subscription | Monthly | Enhanced Support (Cloud) |
| Subscription | Monthly | Premium Support (Cloud) |
| Subscription | Monthly | Platinum and Enterprise (Self-managed) |
| Subscription | Monthly | Elastic Cloud Serverless |
| Subscription | Monthly | Elastic Cloud Hosted |
Go-to-market motion4 records
Distribution channels12 records
Marketing channels14 records
Elastic Cloud product offering
Product offeringCore offering
Elastic Cloud provides fully managed, serverless, and self-managed deployments of the Elasticsearch distributed search and analytics engine combined with the Kibana visualization interface and the Jina AI search model family. The platform delivers three solution areas — Search, Observability, and Security — with native AI capabilities including hybrid lexical + vector search, GPU-powered inference, AI-driven log processing, and context engineering for AI agents. Customers consume the offering through subscriptions on AWS, Google Cloud, and Azure, with tiered support and optional professional services.
Product overview
Elastic Cloud is a unified Search AI Platform combining Elasticsearch (the core distributed search and analytics engine), Kibana (visualization and management interface), and specialized AI capabilities. The platform operates across three solution areas: Search (Enterprise Search, Ecommerce Search, Site Search, Search Applications), Observability (Log Analytics, Infrastructure Monitoring, APM, Digital Experience Monitoring, AIOps, LLM Observability), and Security (SIEM, XDR, Endpoint Security, Threat Hunting). Key product modules include Elastic Agent Builder for building custom AI agents, Elastic Workflows for native automation, Elastic Streams for AI-driven log processing, ES|QL (Piped Query Language) for data analysis, Kibana AutoOps for cluster management, and the Elasticsearch Vector Database with Elastic Inference Service for AI workloads. Deployment options include Elastic Cloud Serverless (fully managed), Elastic Cloud Hosted (on AWS, GCP, Azure), and self-managed deployments including air-gapped environments. The platform integrates Jina AI models natively and connects to leading AI providers including OpenAI, Anthropic, HuggingFace, LangChain, and LlamaIndex.
Differentiator
Problem solved
Functional benefit
Brands
- Elasticsearch: Open source distributed search and analytics engine built for speed, scale, and AI applications
- Kibana
- Elastic Cloud Serverless
- Elastic Cloud Hosted
- Elastic Agent Builder
- Elastic Workflows
- AutoOps
- ES|QL (Elasticsearch Piped Query Language)
- Elastic Inference Service (EIS)
- Elastic Security
- Elastic Observability
- Jina AI
- Streams
Products and services
- Elasticsearch Open source, distributed search and analytics engine that stores structured, unstructured, and vector data in real time and powers Search, Observability, and Security workloads for developers and enterprises.
- Kibana Open source interface to query, analyze, visualize, and manage data stored in Elasticsearch, providing dashboards, AI Assistant, anomaly detection, geospatial mapping, and alerting.
- Elastic Cloud Serverless Fully managed serverless deployment of Elasticsearch and Kibana with zero operational load, used by developers and enterprises for Search, Observability, and Security without infrastructure management.
- Elastic Cloud Hosted Hosted Elasticsearch and Kibana deployment on AWS, Google Cloud, or Azure with ultimate control over cluster configuration and scaling.
- Elastic Cloud Enterprise (ECE) On-premises orchestration platform for managing Elasticsearch and Kibana clusters at scale, including air-gapped and classified environments used by governments and regulated enterprises.
- Elasticsearch Security AI-driven security analytics solution combining SIEM, XDR, endpoint security, and threat hunting on the Elasticsearch engine for SOC modernization and incident response.
- Elasticsearch Observability Unified observability solution unifying logs, metrics, traces, APM, infrastructure monitoring, and LLM observability with AI-driven analysis on the Elasticsearch engine.
- Elasticsearch Enterprise Search AI-powered enterprise search solution covering website, workplace, customer support, and ecommerce search experiences with semantic, vector, and hybrid retrieval.
- Elastic Generative AI (Search AI Platform) Platform for prototyping and integrating large language models with proprietary enterprise data using Elasticsearch retrieval, hybrid search, and reranking for Retrieval-Augmented Generation.
Companies that use Elastic Cloud
Customer profileNamed customers38 records
Segments8 records
Ideal customer profiles4 records
Elastic Cloud technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration29 records
AI capability16 records
Feature10 records
Elastic Cloud partnerships and signals
Strategic signalPartnerships
14 partnerships are on record, tiered core, major and strategic.
- Amazon Web Services (AWS)coreCloud marketplace partner for deploying Elasticsearch. Customers can deploy via AWS marketplace for seamless cloud procurement.
- Microsoft AzurecoreCloud marketplace partner for deploying Elasticsearch on Azure. Customers can deploy via Azure marketplace.
- Google CloudcoreCloud marketplace partner for deploying Elasticsearch on Google Cloud. Customers can deploy via Google Cloud marketplace.
- KyndrylmajorSystem integrator partner for AI adoption, IT modernization, and enterprise transformation initiatives.
- CarahsoftmajorUS public sector only distributor for Elastic solutions serving government agencies.
- AnthropicstrategicAI ecosystem partner building with Elastic's vector database and search capabilities.
- OpenAIstrategicAI ecosystem partner for integration with large language models and RAG workflows.
- NvidiastrategicAI ecosystem partner for GPU-powered inference and acceleration of AI workloads.
- MicrosoftstrategicAI ecosystem partner for integration with Microsoft AI platforms and services.
- HuggingFacestrategicAI ecosystem partner for embedding models and ML model hub integration.
- LangChainstrategicAI ecosystem partner for orchestration framework integration with Elasticsearch.
- LlamaIndexstrategicAI ecosystem partner for data framework integration with Elasticsearch.
- CursorstrategicAI ecosystem partner for AI code editor integration.
- Jina AIcoreJina AI is part of Elastic, bringing best-in-class models for embeddings, rerankers, and URL and doc extraction. Native GPU inference on Elastic Inference Service.
Scale indicators21 records
Recent moves6 records
Expansion highlights6 records
Elastic Cloud competitors and assessment
Company assessmentDirect peers
- Splunk (Cisco): Direct competitor across Elastic's observability and security/SIEM solution areas. Splunk's log analytics, APM, and SIEM offerings overlap heavily with Elastic's unified platform and compete for the same enterprise security and observability budget.
- MongoDB Atlas: Managed cloud database with vector search capabilities competing directly with Elasticsearch's document and vector database offerings. Both target developers building search-driven applications on a managed, multi-cloud platform.
- Dynatrace: Enterprise observability and APM platform with AI-driven analytics. Competes with Elastic Observability for enterprise monitoring, AIOps, and digital experience monitoring budgets among large enterprise customers.
- Grafana Labs: Open-source observability stack (LGTM: Loki, Grafana, Tempo, Mimir) and commercial offerings. Competes directly with Elastic Observability for log analytics, metrics, and visualization, especially among Prometheus-oriented users.
- New Relic: Observability platform providing APM, infrastructure monitoring, log management, and AIOps. Competes with Elastic Observability across multiple solution areas, particularly for digital-first and DevOps-focused engineering teams.
- Datadog: Direct competitor in observability, infrastructure monitoring, APM, and log analytics. Elastic specifically benchmarks against Datadog on cost (claiming 50% the cost of Datadog), making them head-to-head alternatives for enterprise monitoring spend.
- Amazon OpenSearch Service: AWS's managed fork of Elasticsearch, directly competing with Elastic Cloud on AWS marketplace. Documented customer migrations (e.g., Octus) cite OpenSearch as a cost-saving alternative, making it the most immediate competitive threat.
Emerging players
- Weaviate: Open-source vector database with hybrid search capabilities. Competes with Elasticsearch's vector database for AI-native applications, particularly among developers seeking an open-source-first vector solution.
- Pinecone: Purpose-built vector database for AI applications. Competes with Elastic's vector database offering for retrieval-augmented generation and semantic search workloads where customers want a specialized, optimized solution.
Broad incumbents
- Microsoft Sentinel: Cloud-native SIEM from Microsoft competing with Elastic Security. As a bundled Microsoft enterprise offering, it pressures Elastic's SIEM and security analytics position among Microsoft-heavy enterprise customers.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat8 records
Key risks1 record
Key highlights6 records
Customer concentration
Elastic Cloud social profiles
Digital presenceElastic Cloud compliance and trust
Trust signalCompliance2 records
Elastic Cloud financial estimates
Financial estimateRevenue estimate
Valuation estimate
Elastic Cloud leadership team
Management profileNumber of profiles
Profiles1 record
Elastic Cloud subsidiaries and ownership
Company hierarchySubsidiaries1 record
Elastic Cloud funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Elastic Cloud M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Elastic Cloud
What does Elastic Cloud do?
Elastic Cloud provides fully managed, serverless, and self-managed deployments of the Elasticsearch distributed search and analytics engine combined with the Kibana visualization interface and the Jina AI search model family. The platform delivers three solution areas — Search, Observability, and Security — with native AI capabilities including hybrid lexical + vector search, GPU-powered inference, AI-driven log processing, and context engineering for AI agents. Customers consume the offering through subscriptions on AWS, Google Cloud, and Azure, with tiered support and optional professional services.
Is Elastic Cloud a public or private company?
Elastic Cloud is a private company. It is classified as venture growth investor backed and is currently operating.
When was Elastic Cloud founded?
Elastic Cloud was founded in -1.
Where is Elastic Cloud based?
Elastic Cloud is headquartered in Mountain View, United States, in the North America region.
How does Elastic Cloud make money?
Four revenue lines are on record. Elastic Cloud Subscriptions are the primary driver. The others are self-Managed Subscriptions, professional Services and Consulting and training.
Who are Elastic Cloud's main competitors?
Direct peers on record are Splunk (Cisco), MongoDB Atlas, Dynatrace, Grafana Labs, New Relic, Datadog and Amazon OpenSearch Service. Emerging players are Weaviate and Pinecone. Microsoft Sentinel is listed as a broad incumbent.
Does Elastic Cloud have an API?
Yes. Elasticsearch provides comprehensive REST APIs for search, analytics, vector operations, machine learning, security, and observability. The platform offers native clients in Java, Python, Go, Ruby, .NET, PHP, Perl, Rust, and JavaScript. Serverless-specific clients are available for Go, Node.js, Java, Python, Ruby, .NET, and PHP. The Inference API enables integration with third-party AI models. The Kibana API allows management of Discover Sessions, Dashboards, Visualizations, Maps, Alert Rules, and more, with Terraform provider support. MCP (Model Context Protocol) integration is available for Elastic Observability, enabling Kubernetes agent skills in AI chat interfaces. Developer documentation is at www.elastic.co/docs.
What industry is Elastic Cloud in?
Elastic Cloud's product category is Cloud Search and Analytics Platform. Its primary akta.pro industry code is BPAEACAF, Cloud Managed Services (Operations, Monitoring, Patching), with a secondary code of BPAEACAK, Multi-Cloud & Hybrid Cloud Enablement. Its NAICS code is 5182 and its SIC code is 7372.