Elastic

OPEN SOURCE SEARCH, ANALYTICS, AND AI PLATFORM

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.

  • Inference service

    Run Jina AI's high-performance models alongside frontier LLMs, right where your data lives, without managing infrastructure. Orchestrate across search, RAG, and agent workflows through a unified control plane.

Serious capabilities. Surprisingly simple.

  • Advanced search and relevance

    Fuzzy, semantic, or precise — Elasticsearch finds significance in your data. Full-text search, semantic search with Jina models, 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 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.

AWS logo

Google Cloud logo

Microsoft Azure logo

Kubernetes logo

Apache logo

OpenTelemetry logo

Elasticsearch logo

Elastic Observability logo

Elastic Security logo

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.

Java logo

Python logo

Go logo

Ruby logo

Rust logo

Microsoft .NET logo

PHP logo

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.

  • Store any data

    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" } } }
    
  • Semantic search

    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 DESC
    
  • Rerank search

    Returning 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 ASC
    
  • Geospatial search & analytics

    Scaling 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_name
    
  • Time series analysis

    Monitoring 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_count
    
  • Threat hunting

    Detecting 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 with Jina AI models, 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

    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 logo

    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 logo

    Brolly greatly streamlined its entire incident management with Elastic Observability.

  • Customer spotlight

    Lawrence Livermore National Laboratory logo

    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.

  • Talk shop, share search wins, and network with peers at your local Elastic community meetup.

  • Slack off the right way — join the Elastic Slack channel and stay connected with fellow search ninjas.

Read the original on elastic.co ↗