---
title: Get Elasticsearch running for search
description: Select an {{es}} deployment model for search, get it running, and try a search quickstart.
url: https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/8603/solutions/search/set-up/get-elasticsearch-running-for-search
products:
  - Elastic Documentation
applies_to:
  - Elastic Cloud Serverless: Generally available
  - Elastic Stack: Generally available
---

# Get Elasticsearch running for search
Elasticsearch is at the core of every Elastic deployment type. The deployment type you choose determines who manages the infrastructure, scaling, and upgrades, and how usage is billed. This page briefly introduces the deployment types you can use to get Elasticsearch running quickly, and points you to resources that compare them in detail.
<stepper>
  <step title="Choose a deployment and get {{es}} running">
    Get Elasticsearch running in a few minutes.

    ### Try for free on Elastic Cloud

    - **Elastic Cloud Serverless**: Elastic automatically scales and upgrades the project. Projects are versionless, so you always get the latest features.
      Serverless has two project types optimized for different search workloads. Choose the one that matches your data and use case:
      - **[Elasticsearch Vector Database project](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/8603/solutions/vector-database/get-started)**: For most search workloads, this is the recommended option. It is optimized for vector workloads, such as [RAG](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/8603/solutions/search/rag), recommendations, and [multimodal search](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/8603/solutions/search/multimodal-search). Sign up for a [14-day free trial](https://cloud.elastic.co/registration?onboarding_token=vector).
    - **[Elasticsearch project](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/8603/solutions/elasticsearch-solution-project/get-started)**: If you have logs, events, time series, or telemetry data, choose this project type. Sign up for a [14-day free trial](https://cloud.elastic.co/serverless-registration).
    - **[Elastic Cloud Hosted](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/8603/deploy-manage/deploy/elastic-cloud/create-an-elastic-cloud-hosted-deployment)**: You size, scale, and upgrade the cluster yourself, and you select the hardware profile it runs on. The cluster runs a specific Elastic Stack version. Sign up for a [14-day free trial](https://cloud.elastic.co/registration).


    ### Run locally

    - **[Local development](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/8603/deploy-manage/deploy/self-managed/local-development-installation-quickstart)**: Get started quickly with Elasticsearch and Kibana in Docker for local development and testing.

    <tip>
      These are the fastest ways to get Elasticsearch running for search. Elastic offers additional deployment types for production workloads on your own infrastructure.For more detail on the options listed here, and to compare all deployment types across factors like data residency, compliance, feature availability, and infrastructure control, refer to the [full list of deployment options](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/8603/deploy-manage/deploy) and the [detailed feature comparison](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/8603/deploy-manage/deploy/deployment-comparison).
    </tip>
  </step>

  <step title="Try a quickstart">
    Once you have Elasticsearch running, try a quickstart tutorial:
    - [Elasticsearch vector and full-text search in 10 minutes](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/8603/solutions/vector-database/vector-full-text-search): Connect a client and run full-text, semantic, and hybrid search. You can follow the examples in Python, TypeScript, PHP, Ruby, C#/.NET, Java, or Go.
    - [Quickstart: Indexing and search in Elasticsearch](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/8603/solutions/search/get-started/index-basics): Create an index, add documents, and run a search. This tutorial goes further into indices, including dynamic and explicit mappings.
    - [Build your first search query with Python](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/8603/solutions/search/get-started/keyword-search-python): Build a keyword search query with Python.
  </step>

  <step title="Next step">
    After you have selected and started a deployment, get connected: find your endpoint and create an API key in [Get your Elasticsearch endpoint and API key](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/8603/solutions/search/set-up/api-key-and-endpoints).
  </step>
</stepper>