dolphinscheduler
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Java
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项目能做什么
现代化分布式数据编排平台,支持通过低代码敏捷创建高性能工作流。
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)
# Apache Dolphinscheduler [](https://www.apache.org/licenses/LICENSE-2.0.html)  [](https://sonarcloud.io/dashboard?id=apache-dolphinscheduler) [](https://twitter.com/dolphinschedule) <!-- markdown-link-check-disable-line --> [](README_zh_CN.md) ## About Apache DolphinScheduler is a modern data orchestration platform that empowers agile, low-code development of high-performance workflows. It is dedicated to handling complex task dependencies in data pipelines and provides a wide range of built-in job types **out of the box**. Key features for DolphinScheduler are as follows: - Easy to deploy, providing four deployment modes including Standalone, Cluster, Docker, and Kubernetes. - Easy to use, workflows can be created and managed via Web UI, [Python SDK](https://dolphinscheduler.apache.org/python/) or Open API - Highly reliable and high availability, with a decentralized, multi-master and multi-worker architecture and native support for horizontal scaling. - High performance, its performance is several times faster than other orchestration platforms, and it is capable of handling tens of millions of tasks per day - Cloud Native, DolphinScheduler supports orchestrating workflows across multiple clouds and data centers, and allows custom task types - Workflow Versioning, provides version control for both workflows and individual workflow instances, including tasks. - Flexible state control of workflows and tasks, supports pausing, stopping, and recovering them at any time. - Multi-tenancy support - Additional features, backfill support(Web UI native), permission control including project and data source etc. ## QuickStart - For quick experience - Want to [start with standalone](https://dolphinscheduler.apache.org/en-us/docs/3.3.0-alpha/guide/installation/standalone) - Want to [start with Docker](https://dolphinscheduler.apache.org/en-us/docs/3.3.0-alpha/guide/start/docker) - For Kubernetes - [Start with Kubernetes](https://dolphinscheduler.apache.org/en-us/docs/3.3.0-alpha/guide/installation/kubernetes) - For Terraform - [Start with Terraform](deploy/terraform/README.md) ## User Interface Screenshots * **Homepage:** Project and workflow overview, including the latest workflow instance and task instance status statistics.  * **Workflow Definition:** Create and manage workflows by drag and drop, easy to build and maintain complex workflows, support [a wide range of tasks](https://dolphinscheduler.apache.org/en-us/docs/3.3.0-alpha/introduction-to-functions_menu/task_menu) out of box.阅读完整原文
商业机会分析 规则生成(AI 未配置)
综合评分 67.4 分。该项目在“个人可实施性”维度得 32 分,“付费可能性”维度得 60.0 分,差异化空间 100.0 分(评分依据见评分卡)。
将 dolphinscheduler 改造为垂直场景 SaaS
| 产品构想 | 保留核心能力,针对某一类用户(如某行业团队)做托管版,收取月费。 |
| 目标用户 | 有该需求的中小团队 / 独立站长 |
| 难度/周期 | 较高 · 2~4 周(MVP) |
| 收费模式 | 订阅制(如 ¥29~99/月) |
| 竞争风险 | 需验证付费意愿;注意许可证合规 |
| 依据 | 数据支持的判断:许可证与关键词显示存在商用与付费场景 |
面向细分需求的二次开发产品
| 产品构想 | 基于 dolphinscheduler 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 |
|---|---|---|---|
| apache/airflow | 中文介绍暂未生成 Apache Airflow - A platform to programmatically author, sche |
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| windmill-labs/windmill | 中文介绍暂未生成 Code-first platform for workflows, apps and AI agents, on th |
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| dagucloud/dagu | 中文介绍暂未生成 Self-hostable workflow orchestrator for teams whose main wor |
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| orchest/orchest | 中文介绍暂未生成 Build data pipelines, the easy way 🛠️ |
4,131 | TypeScript |
| jghoman/awesome-apache-airflow | 中文介绍暂未生成 Curated list of resources about Apache Airflow |
3,943 | Shell |
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 58 个 Release |
| 社区活跃 | Star 14,552 / 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/apache/dolphinscheduler.git cd dolphinscheduler # 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。