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What is Databend?

Databend is an open-source Elastic and Workload-Aware modern cloud data warehouse.

Databend uses the latest techniques in vectorized query processing to allow you to do blazing-fast data analytics on object storage(S3, Azure Blob, Google Cloud Storage, Huawei Cloud OBS or MinIO).

  • Instant Elasticity

    Databend completely separates storage from compute, which allows you easily scale up or scale down based on your application's needs.

  • Blazing Performance

    Databend leverages data-level parallelism(Vectorized Query Execution) and instruction-level parallelism(SIMD) technology, offering blazing performance data analytics.

  • Git-like Storage

    Databend stores data with snapshots. It's easy to query, clone, and restore historical data in tables.

  • Support for Semi-Structured Data

    Databend supports ingestion of semi-structured data in various formats like CSV, JSON, and Parquet, which are located in the cloud or your local file system; Databend also supports semi-structured data types: ARRAY, MAP, JSON, which is easy to import and operate on semi-structured.

  • MySQL/ClickHouse Compatible

    Databend is ANSI SQL compliant and MySQL/ClickHouse wire protocol compatible, making it easy to connect with existing tools(MySQL Client, ClickHouse Client, Vector, DBeaver, Jupyter, JDBC, etc.).

  • Easy to Use

    Databend has no indexes to build, no manual tuning required, no manual figuring out partitions or shard data, it’s all done for you as data is loaded into the table.



Try Databend

1. Databend Serverless Cloud

The fastest way to try Databend, Databend Cloud

2. Install Databend from Docker

Prepare the image (once) from Docker Hub (this will download about 170 MB data):

docker pull datafuselabs/databend

To run Databend quickly:

docker run --net=host  datafuselabs/databend

Getting Started

Deploying Databend

Connecting to Databend

Loading Data into Databend

Managing Users

Managing Databases

Managing Tables

Managing Views

Managing User-Defined Functions

Backup & Restore

Use Cases



Databend is an open source project, you can help with ideas, code, or documentation, we appreciate any efforts that help us to make the project better! Once the code is merged, your name will be stored in the system.contributors table forever.

To get started with contributing:


For general help in using Databend, please refer to the official documentation. For additional help, you can use one of these channels to ask a question:

  • Slack (For live discussion with the Community)
  • GitHub (Feature/Bug reports, Contributions)
  • Twitter (Get the news fast)
  • Weekly (A weekly newsletter about Databend)
  • I'm feeling lucky (Pick up a good first issue now!)



Databend is licensed under Apache 2.0.


  • Databend is inspired by ClickHouse and Snowflake.
  • Databend's computing model is based on Arrow2, Arrow2 is a faster and safer implementation of the Apache Arrow Columnar Format.
  • The documentation website is hosted by Vercel.
  • Thanks to Mergify for sponsoring advanced features like Batch Merge.
  • Thanks to QingCloud for sponsoring CI resources.