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Welcome to CloudBeaver Documentation

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This is the documentation for CloudBeaver, a powerful database management tool designed for teams and businesses. It supports a wide range of databases, including SQL, NoSQL, and cloud databases, all accessible through a web browser. Optimized for teamwork, it simplifies database operations and allows multiple users to collaborate seamlessly in a cloud-based environment.

CloudBeaver comes in two editions, each tailored to different users and workflows. Find the one that best fits your workflow.

=== "CloudBeaver Enterprise"

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**CloudBeaver Enterprise**, designed for organizations requiring robust database management capabilities. It supports a wide range of relational and NoSQL databases, provides enhanced security features, and facilitates team collaboration with centralized access management. 

[Learn more](CloudBeaver-Enterprise)

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=== "CloudBeaver AWS"

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**CloudBeaver AWS** is a web-based database management tool optimized for Amazon Web Services. It enables teams to collaboratively manage AWS-hosted databases through a user-friendly interface, offering features like Cloud Explorer for seamless integration with AWS services. 

[Learn more](AWS-Overview)

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Getting started with CloudBeaver guide

• Overview

  Get a high-level understanding of CloudBeaver's features and capabilities.

  CloudBeaver overview

• Getting started

  Learn the basics to get started with CloudBeaver, including setup steps and key features.

  Quick start

• Choose your hosting option

  Cloud, Docker, or self-hosted - find the best deployment option for your needs.

  Explore hosting options

• First steps

  Start exploring databases and performing basic operations.

  First steps

• Import your license

  Steps to activate your CloudBeaver license.

  Import license

• Explore database support

  Check out the databases you can manage with CloudBeaver.

  Supported databases

• Create connection

  Connect to your database and start working with data.

  Create connection

• Work with SQL Editor

  Write and run queries, explore results, and manage scripts.

  Use SQL Editor

• Work with data in Data Editor

  View, filter, and edit table data.

  Data Editor guide

• Use AI

  Write and explain SQL with help from the built-in AI assistant.

  How to use AI

• Transfer data

  Export, import, or copy data between databases and files.

  Data export Data import