citus
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项目能做什么
将 PostgreSQL 转化为分布式数据库的扩展插件。
来源:基于仓库元数据
· 内容以仓库实际 README 为准
使用说明 查看原始 README 原仓库文档
中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
| **<br/>The Citus database is 100% open source.<br/><img width=1000/><br/>Learn what's new in the [Citus 14 release blog](https://www.citusdata.com/blog/2026/02/17/distribute-postgresql-18-with-citus-14/) and the [Citus Updates page](https://www.citusdata.com/updates/).<br/><br/>**| |---| <br/>  [](https://docs.citusdata.com/) [](https://stackoverflow.com/questions/tagged/citus) [](https://slack.citusdata.com/) [](https://app.codecov.io/gh/citusdata/citus) [](https://twitter.com/intent/follow?screen_name=citusdata) [](https://packagecloud.io/app/citusdata/community/search?q=&filter=debs) [](https://packagecloud.io/app/citusdata/community/search?q=&filter=rpms) ## What is Citus? Citus is a [PostgreSQL extension](https://www.citusdata.com/blog/2017/10/25/what-it-means-to-be-a-postgresql-extension/) that transforms Postgres into a distributed database—so you can achieve high performance at any scale. With Citus, you extend your PostgreSQL database with new superpowers: - **Distributed tables** are sharded across a cluster of PostgreSQL nodes to combine their CPU, memory, storage and I/O capacity. - **Reference tables** are replicated to all nodes for joins and foreign keys from distributed tables and to maximize read performance. - **Distributed query engine** routes and parallelizes SELECT, DML, and other operations on distributed tables across the cluster. - **Columnar storage** compresses data, speeds up scans, and supports fast projections, both on regular and distributed tables. - **Query from any node** enables you to utilize the full capacity of your cluster for distributed queries You can use these Citus superpowers to make your Postgres database scale-out ready on a single Citus node. Or you can build a large cluster capable of handling **high transaction throughputs**, especially in **multi-tenant apps**, run **fast analytical queries**, and process large amounts of **time series** or **IoT data** for **real-time analytics**. When your data size and volume grow, you can easily add more worker nodes to the cluster and rebalance the shards. Our [SIGMOD '21](https://2021.sigmod.org/) paper [Citus: Distributed PostgreSQL for Data-Intensive Applications](https://doi.org/10.1145/3448016.3457551) gives a more detailed look into what Citus is, how it works, and why it works that way. 
综合评分 56.6 分。该项目在“个人可实施性”维度得 30 分,“付费可能性”维度得 35.0 分,差异化空间 100.0 分(评分依据见评分卡)。
面向细分需求的二次开发产品
| 产品构想 | 基于 citus 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。 |
| 目标用户 | 该细分场景用户 |
| 难度/周期 | 中 · 2~6 周 |
| 收费模式 | 买断制 / 订阅制 / 广告 |
| 竞争风险 | 细分需求规模需验证 |
| 依据 | AI 推测:基于项目主题标签的判断 |
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心
竞品与相似项目 GitHub Search 真实检索
| 项目 | 中文简介 | Stars | 语言 |
|---|---|---|---|
| citusdata/cstore_fdw | 中文介绍暂未生成 Columnar storage extension for Postgres built as a foreign d |
1,781 | C |
| citusdata/pg_shard | 中文介绍暂未生成 ATTENTION: pg_shard is superseded by Citus, its more powerfu |
1,060 | C |
| citusdata/django-multitenant | 中文介绍暂未生成 Python/Django support for distributed multi-tenant databases |
825 | Python |
| citusdata/activerecord-multi-tenant | 中文介绍暂未生成 Rails/ActiveRecord support for distributed multi-tenant data |
759 | Ruby |
| citusdata/docker | 中文介绍暂未生成 :ship: Docker images and configuration for Citus |
273 | Dockerfile |
| citusdata/podyn | 中文介绍暂未生成 DynamoDB to PostgreSQL & Citus continuous replication tool |
88 | Java |
以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。
项目优势与风险
| 技术成熟度 | 创建于 ,最近推送 ,发布过 100 个 Release |
| 社区活跃 | Star 12,854 / Fork 0 / Issue 0(数据支持,可自行核实) |
| 许可证 | 未检测到(需人工确认) |
| 主要风险 | 上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价 |
安装与使用
快速开始(以仓库 README 为准)
git clone https://github.com/citusdata/citus.git cd citus # 请阅读仓库 README 获取确切安装步骤(依赖、配置、启动命令)
术语说明:Docker=应用容器(把程序和依赖打包运行);API Key=调用外部服务的密钥;Git Clone=把仓库代码下载到本地。常见错误:API Key 未配置 / 端口占用 / 数据库连接失败,多数项目在 README 的 Troubleshooting 章节有说明。