Databend Products

Welcome to the Databend (pronounced as /ˈdeɪtəˌbɛnd/) documentation.

Databend is the next-generation cloud [Data+AI] Analytics platform for structured, semi-structured & unstructured multimodal data.

As the open-source alternative to Snowflake with near 100% SQL compatibility and native AI capabilities, trusted by world-class enterprises managing 800+ petabytes and 100+ million queries daily.

Introduction to Databend Products

Choose the deployment option that best fits your needs and scale.

Databend Cloud

Fully-managed cloud service. No setup required.

Databend Enterprise

Self-hosted with enterprise features and support.

Databend Community

Open-source and free for all use cases.

Product Features

10x Faster Performance

Rust-powered vectorized execution with SIMD optimization delivers exceptional performance.

90% Cost Reduction

S3-native storage eliminates proprietary overhead and reduces costs significantly.

Snowflake Compatible

Near 100% SQL compatibility enables zero-rewrite migration from Snowflake.

Universal Data Processing

Process structured, semi-structured, and unstructured multimodal data in one platform.

Native AI Capabilities

Built-in AI functions, vector search, and multimodal analytics for modern workloads.

Multi-Cloud & No Lock-in

Deploy on AWS, Azure, GCP, or on-premise with complete data sovereignty.

Getting Started

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

Start with Databend Cloud

Get started in minutes with our fully-managed cloud service. No setup required.

What you need to know:

• Choose Your Edition
• Pricing & Plans
• Using Databend Cloud

Deploy Your Own Instance

Install Databend on your infrastructure for complete control and customization.

What you need to know:

• 5-Minute Quick Start
• Download & Install
• Enterprise Features & Licensing

Connect to Databend

Connect your application to Databend in just a few minutes.

Developer Resources →

BendSQL

Java

Golang

Python

Node.js

Rust

MCP Server

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

Here are some entries you might want to learn about

Getting Started

• SQL Reference: Your swift-access guide for Databend essentials!
• Connect to Databend: Connect with various SQL clients and programming languages.

Data Processing

• Data Loading: Import data from various sources into Databend.
• Data Unloading: Export data from Databend to different formats.
• Semi-Structured Data: Process JSON, arrays, and nested data with VARIANT type.

AI & Advanced Analytics

• Databend AI and ML: Leverage AI capabilities in your data processing.
• Vector Functions: Vector similarity and distance calculations for ML workloads.
• Full-Text Search: Advanced text search and relevance scoring.

Performance & Scale

• Performance Optimization: Enhance query performance with various strategies.
• Benchmarks: Compare Databend performance with other data warehouses.
• Data Lakehouse: Seamless integration with Hive, Iceberg, and Delta Lake.