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{es} is an open source distributed search and analytics engine, scalable data store, and vector database. It’s optimized for speed and relevance on production-scale workloads.

Important
Understanding Elasticsearch on serverless

If you haven’t used {es} before, first learn the basics in the core {es} documentation.

{es-serverless} is one of the three available project types on {serverless-full}.

This project type enables you to use the core functionality of {es}: searching, indexing, storing, and analyzing data of all shapes and sizes.

When using {es} on {serverless-full} you don’t need to worry about managing the infrastructure that keeps {es} distributed and available: nodes, shards, and replicas. These resources are completely automated on the serverless platform, which is designed to scale up and down with your workload.

This automation allows you to focus on building your search applications and solutions.

Get started

🚀

Create a project →
Get started by creating your first {es} project on serverless.

🔌

Connect to {es} →
Learn how to connect your applications to your {es-serverless} endpoint.

⤵️

Ingest data →
Learn how to get your data into {es} and start building your search application.

🛝

{kibana-ref}/playground.html[Try Playground →]
After you’ve added some data, use Playground to test out queries and combine {es} with the power of Generative AI in your applications.

Learn more

What’s different on serverless? →
Understand the differences between {es} on {serverless-full} and other deployment types.

🧾

Billing →
Learn about the billing model for {es} on {serverless-full}.