Databend Products
Welcome to the Databend (pronounced as /ˈdeɪtəˌbɛnd/) documentation.
Databend is an open-source, serverless, cloud-native data lakehouse built on object storage with a decoupled storage and compute architecture. It delivers exceptional performance and rapid elasticity, aiming to be the open-source alternative to Snowflake.
Databend 产品介绍
查看您可以选择的产品。
入门指南
创建一个 Databend Cloud 账户或部署您自己的 Databend 实例。
产品特点
Serverless 弹性架构
计算层采用 Serverless 弹性架构,计算节点无状态,根据业务感知负载,具有快速的弹性扩展能力和业务恢复能力。
Object Storage
Stores all data in object storage.
开放数据格式 Parquet
存储采用标准 Parquet 格式,无需担心数据锁定风险。
存算分离架构,一份数据多个租户共享
Databend 自 Day 1 就是基于存算分离架构进行设计开发,真正的存算分离架构,一份数据可以共享给多个租户共享,实现数据集市的功能。
开源,私有化部署和公有云服务均支持
Databend 支持公有云 SaaS 服务和私有化部署,内核开源,无需担心产品锁定,可以根据自身需求选择不同产品。
支持数据湖
支持读取 Iceberg、Hive、Delta Lake 中数据。
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