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Welcome to CloudBeaver Docs

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, 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 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

Where to start

  • 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.

    Activate 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