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apache/dolphinscheduler

Apache DolphinScheduler is a modern, low-code data orchestration platform designed for agile creation of high-performance workflows and managing complex data pipeline dependencies.

Core Features

Flexible deployment options including Standalone, Cluster, Docker, and Kubernetes.

Intuitive workflow creation and management via Web UI, Python SDK, or Open API.

High reliability, availability, and horizontal scalability with a decentralized architecture.

Exceptional performance, capable of handling tens of millions of tasks daily.

Cloud-native design with workflow versioning and flexible state control.

Detailed Introduction

Apache DolphinScheduler is a robust, modern data orchestration platform designed to streamline the management of complex data pipelines and task dependencies. It offers a low-code approach for agile workflow creation, enabling users to build high-performance data processing workflows with ease. With its decentralized, multi-master architecture, DolphinScheduler ensures high reliability, availability, and scalability, capable of processing millions of tasks daily. It supports various deployment modes, including Docker and Kubernetes, and provides a rich set of features like workflow versioning, multi-tenancy, and integration with diverse data sources, making it an ideal solution for enterprise-grade data workflow automation.