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, provides 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 supports 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 cross 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 pause/stop/recover them in any time
- Multi-tenancy support
- Additional features, backfill support(Web UI native), permission control including project and data source etc.
- For quick experience
- Want to start with standalone
- Want to start with Docker
- For Kubernetes
- For Terraform
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Homepage: Project and workflow overview, including the latest workflow instance and task instance status statistics.
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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.
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Workflow Tree View: Abstract tree structure could provide a clearer understanding of task relationships
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Data source: Supports multiple external data sources, provides unified data access capabilities for MySQL, PostgreSQL, Hive, Trino, etc.
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Monitor: View the status of the master, worker and database in real time, including server resource usage and load, do quick health check without logging in to the server.
Follow this guide to report your suggestions or bugs.
The community welcomes contributions from everyone. Please refer to this page to find out more details: How to contribute. Check out good first issue in here if you are new to DolphinScheduler.
Welcome to join the Apache DolphinScheduler community by:
- Join the DolphinScheduler Slack to keep in touch with the community
- Follow the DolphinScheduler Twitter and get the latest news
- Subscribe DolphinScheduler mail list, [email protected] for users and [email protected] for developers
DolphinScheduler enriches the CNCF CLOUD NATIVE Landscape.
