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apache/dolphinscheduler

Apache DolphinScheduler is a modern, low-code data orchestration platform designed for agile development and high-performance management of complex data workflows and task dependencies.

Core Features

Easy deployment with Standalone, Cluster, Docker, and Kubernetes modes

Workflow creation and management via Web UI, Python SDK, or Open API

Highly reliable, high availability, and horizontally scalable architecture

High performance, capable of handling millions of tasks daily

Cloud Native with workflow versioning and flexible state control

Detailed Introduction

Apache DolphinScheduler is a robust, modern data orchestration platform that simplifies the creation and management of high-performance data workflows with a low-code approach. It excels at handling complex task dependencies across data pipelines, offering a wide array of built-in job types. Its decentralized, multi-master and multi-worker architecture ensures high reliability, availability, and horizontal scalability, making it suitable for cloud-native environments. With support for various deployment modes including Docker and Kubernetes, and a user-friendly Web UI, Python SDK, and Open API, DolphinScheduler empowers users to efficiently orchestrate and monitor data processes, achieving superior performance capable of processing millions of tasks daily.