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OPEN SOURCE SEARCH, ANALYTICS, AND AI PLATFORM
Elasticsearch
Elasticsearch is an open source, distributed search and analytics engine built for speed, scale, and AI applications. As a retrieval platform, it stores structured, unstructured, and vector data in real time — delivering fast hybrid and vector search, powering observability and security analytics, and enabling AI-driven applications with high performance, accuracy, and relevance.
What makes Elasticsearch a search, analytics, and AI powerhouse?
It's because Elasticsearch is a …
Datastore
Store everything. Search anything. Structured, unstructured, and vectors — all under one roof with efficient columnar storage. For us, data is just data.
Vector database
Semantic meets syntax. Text, image, and multi-modal vectors — all in one API. Billions of embeddings, deployable anywhere you need.
Analytics engine
Think faster. Act smarter. Real-time data analytics move with speed to aggregate and transform even high-cardinality data instantly.
Search engine
Shockingly relevant. Full-text, filters, vectors, and scoring. Real-time search and precision at scale — built for developers, loved by data.
Geospatial engine
Put your data on the map. Literally. Search it, shape it, and show it off with geo-distance, polygons, and hexagonal spatial analytics.
Serious capabilities. Surprisingly simple.
Lightning-fast search performance
Build search applicationsMillisecond-latency search, powered by Lucene. Instant answers, no matter how fast data moves.
Global distributed scalability
Scale effortlessly. Elasticsearch autoscales, rebalances, replicates, and powers through petabytes — with no downtime and no drama. Need global reach? Cross-cluster search delivers federated search without the fuss.
Versatile data and use case flexibility
Text? Timestamps? Vectors? Yes. One platform to do it all. From search to observability to security, Elasticsearch is built once and reused everywhere. Developed for whatever else your data dreams up.
Advanced search and relevance
Fuzzy, semantic, or precise — Elasticsearch finds significance in your data. Full-text search, vector search, and hybrid search with filters, ranking, and reranking for unmatched relevance.
Smart storage and deep search
Elasticsearch delivers performant, searchable, cost-effective data storage. From hot tier on local disks to searchable snapshots on object storage, get speed and savings — no compromises needed.
Connected and integrated
Built-in connectors, common schemas, and open standards. Ingest fast with APIs, clients, and pipelines. Elasticsearch meets your data where it lives to connect, ship, analyze, and search all data types.
From bare metal to serverless. It's your call.
From a laptop to a hundred‑node cluster, Elasticsearch works the same everywhere. On‑premises, in the cloud, or across clouds — we'll be there.
Elastic Cloud Serverless
Do less with serverless
Hassle-free operations with a fully managed serverless offering — the easiest way to ramp up search, observability, and security.
Elastic Cloud Hosted
Deploy hosted Elasticsearch and Kibana on AWS, Google Cloud, and Azure
Spin up a fully loaded deployment on the cloud provider you choose. As the company behind Elasticsearch, we bring our features and support to your Elastic clusters in the cloud.
On-Prem
Download Elasticsearch
Grab a fresh installation and start running Elasticsearch on your machine in just a few steps.
Build with a rich ecosystem and integrations
350+ integrations, endless flexibility. Elasticsearch meets your data where it lives — with APIs, language clients, and ingest pipelines that make it simple to connect, ship, and search from anywhere.
Code with the language you use today
Code it your way. Clients for Java, Python, GO, and much more — plus raw API access when you want it. Fast, easy, flexible, and designed to support your projects on Elasticsearch.
Get hands-on with Elasticsearch
Check out Elasticsearch Labs, the one-stop destination to learn how to build search experiences like GenAI, embedding models, reranking capabilities, and much more.
Securely store, analyze, and scale all data types — structured, unstructured, time-series, logs, events, geospatial, vectors, and more. No need to move data to a central location or refactor data to fit.
POST /my-index/_doc/1 { "timestamp": "2025-02-19T14:30:00Z", "log_level": "ERROR", "message": "Unauthorized access attempt detected", "event_id": "abc123xyz", "user": { "id": "user_456", "username": "jdoe", "ip_address": "192.168.1.100" }, "geo": { "lat": 39.7392, "lon": -104.9903, "city": "Denver", "region": "Colorado", "country": "US" }, "http": { "method": "POST", "url": "/admin/login", "status_code": 401, "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)" }, "security": { "alert_type": "Failed Login", "severity": "high", "action_taken": "Blocked IP", "detection_engine": "SIEM" }, "server": { "hostname": "webserver-01", "environment": "production" } } }Keyword-based search falls short when users need results based on meaning, not just exact matches. Elasticsearch enables semantic search with dense and sparse vectors, hybrid retrieval, and advanced relevance tuning — powering AI-driven applications that understand intent and context for more accurate results.
FROM search-movies | EVAL len = length(semantic_title) | EVAL semantic_title = to_upper(semantic_title) | KEEP semantic_title, len | SORT len DESCReturning relevant results isn't just about matching terms — it's about ranking what matters most. Elasticsearch enhances search quality with reranking techniques, using vector search, hybrid retrieval, and machine learning to refine and prioritize the best results for each query.
FROM my-index* | EVAL distance = ST_DISTANCE(TO_GEOPOINT(location, city_location)) | KEEP timestamp, user.username, location, distance, city_location | SORT distance ASCScaling geospatial search is challenging with large datasets and real-time location updates. Elasticsearch enables fast geospatial search, mapping, and geo-hex analytics while optimizing query performance at scale.
FROM security-logs | LOOKUP JOIN envs_lkp ON clientip | WHERE environment IS NOT NULL | KEEP @timestamp, clientip, environment | EVAL env = CONCAT(environment, " Environment") | LOOKUP JOIN blocked_lkp ON clientip | LOOKUP JOIN emp_lkp ON clientip | WHERE ST_INTERSECTS( "POLYGON((109.4 18.1, 109.6 18.1, 109.6 18.3, 109.4 18.3, 109.4 18.1))"::geo_shape, client_location ) | STATS COUNT(action) BY emp_no, first_nameMonitoring modern applications and infrastructure requires real-time insights across signals, telemetry, logs, metrics, and traces. Elasticsearch powers observability solutions with scalable data ingestion, fast search, and advanced analytics — helping teams detect issues, troubleshoot performance, and optimize system health efficiently.
FROM my-index* | WHERE http.status_code >= 500 | STATS failure_count = COUNT(*) BY server.hostname | SORT failure_count DESC | KEEP server.hostname, failure_countDetecting and investigating security threats requires analyzing massive volumes of logs in real time. Elasticsearch powers SIEM solutions with high-speed log ingestion, scalable AI threat detection, and fast search across structured and unstructured security data so teams can identify anomalies and respond to threats faster.
FROM my-index* | WHERE log_level == "ERROR" OR security.severity == "high" | SORT timestamp DESC | KEEP timestamp, user.username, message, security.alert_type, security.severity, http.status_code
POST /my-index/_doc/1
{ "timestamp": "2025-02-19T14:30:00Z", "log_level": "ERROR", "message": "Unauthorized access attempt detected", "event_id": "abc123xyz", "user": { "id": "user_456", "username": "jdoe", "ip_address": "192.168.1.100" }, "geo": { "lat": 39.7392, "lon": -104.9903, "city": "Denver", "region": "Colorado", "country": "US" }, "http": { "method": "POST", "url": "/admin/login", "status_code": 401, "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)" }, "security": { "alert_type": "Failed Login", "severity": "high", "action_taken": "Blocked IP", "detection_engine": "SIEM" }, "server": { "hostname": "webserver-01", "environment": "production" } } }
Text? Timestamps? Vectors? Yes.
Elasticsearch powers search, observability, and security all from one platform — built once, reused everywhere. With flexible APIs for AI search, vector retrieval, and more, it delivers fast results at any scale.
Application search
Full-text, fuzzy, and semantic search across websites, mobile apps, internal tools, or SaaS platforms with blazing-fast results and advanced ranking.
Ecommerce & product discovery
Enable fast, relevant product search and filtering using hybrid relevance (lexical + vector), synonyms, personalization, and custom scoring.
AI-powered search & RAG
Integrate dense vector search, hybrid ranking, and LLMs for GenAI experiences. Elasticsearch handles vector ingestion, storage, search, and reranking in one stack.
Log analytics
Ingest logs from apps, infra, and cloud services. Analyze in real time with ES|QL, categorization, and fast filtering — whether stored on local disk or object storage via searchable snapshots or Elasticsearch logsdb index mode.
Application and infra monitoring
Ingest, analyze, and visualize OpenTelemetry data in Elastic for unified observability. Correlate traces, metrics, and logs to ensure critical systems are available and performant.
LLM observability
Track and improve LLM usage, performance, and cost. Identify safety issues, latency spikes, and output drift in real time.
SIEM
Detect, investigate, and respond to evolving threats with AI-driven security analytics. Use detection rules, entity analytics, and curated ML jobs for real-time threat monitoring.
Threat hunting & forensics
Dive into petabytes of endpoint, multi-cloud, and network data. Use context and AI insights with ES|QL joins to enrich, filter, and pivot indicators.
AI for SOC
Automate SOC triage and response with AI-powered search, speeding investigations and surfacing threats across structured and unstructured data.
Built for builders
Developers like you are powering the next-gen search AI apps that scale anywhere with Elastic.
Customer spotlight
Chat Leap uses Elastic to power global campaigns reaching millions of customers for everything from Black Friday sales to global sporting events.
Customer spotlight
Brolly greatly streamlined its entire incident management with Elastic Observability.
Customer spotlight
Lawrence Livermore National Laboratory maximizes its HPC system availability for ground-breaking national security and scientific research with Elastic Security.
Join the neighborhood
Explore what other developers are doing with Elasticsearch, ask questions, and get help when you get stuck.
Dive into Elastic forums — discuss, learn, teach, troubleshoot, and explore with the global community.
Slack off the right way — join the Elastic Slack channel and stay connected with fellow search ninjas.
