Provisioning

Cloud-native Elasticsearch

Elastic offers multiple options for running Elasticsearch in the cloud, including a fully managed serverless option that fits your current (or desired) infrastructure setup. Go serverless, or host Elasticsearch for your application in your favorite cloud or across multiple clouds with AWS, Google Cloud Platform, or Microsoft Azure.

Discover a fully managed and autoscaled Elasticsearch service.

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Explore getting started with Serverless across solutions.

Try the interactive demo

Learn how Elastic's serverless architecture is designed for fast performance and scalability.

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Elasticsearch — the most widely deployed vector database

Copy to try locally in two minutes

curl -fsSL https://elastic.co/start-local | sh
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Flexibility to match your orchestration needs

  • Elastic Self-Managed

    Download and run it yourself.

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      Trying it out on your local machine

  • Elastic Cloud Hosted

    We orchestrate your servers.

  • Elastic Cloud Serverless

    We manage everything.

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      Available on AWS

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      Get the latest vector search and ML capabilities first

All the Latest Features

Elasticsearch Serverless: No nodes, no shards, no hassle

Elastic Serverless is a fully-managed, production-ready vector database that requires virtually no operational overhead. Simply start a new project to access the latest search and ML features. Choose from search performance options that meet diverse needs.

Alternatively, use Elastic Cloud Hosted. Choose any cloud — or multi-cloud or hybrid — to build resilient, and configurable search services. Want to consume cloud-based search via the marketplaces? You get consolidated billing and can accrue toward your annual spending commitments.

BUILD ON ELASTICSEARCH

Go fully managed with serverless

Elastic manages provisioning, scaling, monitoring, and upgrades so you can stay focused on building search and generative AI applications.

  • No operational overhead

    Elasticsearch without operations. Stay focused on building with a fully managed, autoscaled vector database.

  • An architecture for real-time, low latency applications

    We decouple compute from storage and provide independent autoscaling that adapts to changes in demand while maintaining high-speed query response times.

  • Get the latest search and GenAI capabilities

    Innovate with new vector search and machine learning features, native integrations, and connectors to sync to external data. Streamline code and multi-cloud inference management with Elastic's inference API using your own embeddings, or Elastic's proprietary sparse encoder model. Try out models and explore new features in the AI Playground.

  • Simple pricing that scales from Dev to Prod

    Choose from pricing options that meet every performance and speed need using affordable, scalable storage.

Prefer to manage your own instance?

Choose among a number of flexible options that allow you to run and self‑host Elasticsearch.

  • Elastic Cloud Enterprise

    Manage a fleet of clusters on any infrastructure.

  • Elastic Cloud on Kubernetes

    Set up and run Elasticsearch and Kibana on Kubernetes.

  • "all": "Elasticsearch"

    Download

    Download as an installable binary or as a Docker container.

Why not monitor and secure, too?

Elastic makes it easy to add best-in-class threat detection, performance monitoring, logging, and more — all in the same platform that powers search.