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。
对象存储
所有数据存储在对象存储中。
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 自创建以来就是基于存算分离架构进行设计开发,是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!
- Connect to Databend: Connect with various SQL clients and programming languages.
- Data Loading: Import data from various sources into Databend.
- Data Unloading: Export data from Databend to different formats.
- External Functions: Extend Databend's capabilities with custom functions.
- Databend AI and ML: Leverage AI capabilities in your data processing.
- Data Management: Manage your data lifecycle effectively.
- Data Lakehouse: Seamless integration with Hive, Iceberg, and Delta Lake.
- Performance Optimization: Enhance query performance with various strategies.
- Benchmarks: Compare Databend performance with other data warehouses.