Overview

Welcome to the Databend (pronounced as /ˈdeɪtəˌbɛnd/) Guides, covering all Databend products.

Introduction to Databend Products

Check out the products you can choose from.

Databend Cloud

Fully-Managed on Cloud

Databend Enterprise

Self-Hosted with Additional Enterprise Features

Databend Community

Self-Hosted & Free

Getting Started

Create a Databend Cloud account or deploy your own Databend instance.

Activate Databend Cloud

This topic outlines the steps for applying for beta access as an organization.

Topics you might find useful:

• Supported Platforms & Regions
• Databend Cloud Editions
• Pricing & Billing

Self-Hosted Databend

This topic provide detailed instructions for deploying and upgrading Databend.

Topics you might find useful:

• Downloading Databend
• Licensing Databend
• Upgrading Databend

Connect to Databend

Connect your application to Databend in just a few minutes.

Developer Resources →

BendSQL

Java

Golang

Python

Node.js

Rust

Load Data into Databend

Bulk import data into Databend(Cloud) in multiple formats.

Know More →

Kafka

dbt

Airbyte

Flink CDC

Addax

DataX

Debezium

Tapdata

Vector

AI & BI & Visualization & Notebooks

Databend offers connectors and plugins for integrating with major data import tools, ensuring efficient data synchronization.

All Tools →

Deepnote

Jupyter

Metabase

Grafana

Redash

Superset

Tableau

MindsDB

Continuous Data Pipelines

Data pipelines automate the process of moving and changing data from different sources into Databend.

Know More →

Real-Time CDC Ingestion

Automated Data Pipelines

Additional Information

AI Capabilities

Security

Contact Support

Use Cases

FAQ

Changelog

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Here are some entries you might want to learn about

• SQL Reference: your swift-access guide for Databend essentials!
• Data Unloading: Export data from Databend(Cloud).
• External Functions: Use external functions to extend Databend's capabilities.
• Data Management: Manage data in Databend(Cloud).
• Benchmarks: Compare Databend Cloud performance with Snowflake on TPC-H SF100 benchmarks.
• Accessing Data Lake: Databend presents a seamless integration with three robust Data Lake technologies—Apache Hive, Apache Iceberg, and Delta Lake.
• Query Structures: Databend supports diverse query structures to enhance your data querying experience
• Performance Optimization: Databend supports the following features to optimize query performance across various scenarios