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A distributed and easy-to-extend visual workflow scheduler system
Dedicated to solving the complex task dependencies in data processing, making the scheduler system out of the box for data processing. Its main objectives are as follows:
Why DolphinScheduler
High Reliability
Decentralized multi-master and multi-worker, HA is supported by itself, overload processing
User-Friendly
All process definition operations are visualized, Visualization process defines key information at a glance, One-click deployment
Rich Scenarios
Support pause, recover operation. Support multi-tenant. Support more task types e.g., spark, hive, mr, shell, python, sub_process
High Expansibility
Support custom task types, Distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster