Apache Dolphinscheduler

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 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
- Want to start with Docker
For Kubernetes
- Start with Kubernetes
For Terraform
- Start with Terraform

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 out of box.
Workflow Tree View: Abstract tree structure could provide a clearer understanding of task relationships
Data source: Supports multiple external data sources, provides unified data access capabilities for MySQL, PostgreSQL, Hive, Trino, etc.
Monitor: View the status of the master, worker and database in real time, including server resource usage and load, do a quick health check without logging in to the server.

Suggestions & Bug Reports

Follow this guide to report your suggestions or bugs.

Contributing

The community welcomes contributions from everyone. Please refer to this page to find out more details: How to contribute. Check out good first issues here if you are new to DolphinScheduler.

Community

Welcome to join the Apache DolphinScheduler community by:

Use GitHub Issues for questions, discussions, and bug reports
Follow the DolphinScheduler Twitter and get the latest news
Subscribe DolphinScheduler mail list, users@dolphinscheduler.apache.org for users and dev@dolphinscheduler.apache.org for developers