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Friendly UI: Front-end page is provided and developers can manage their task, monitor the status, check the logs online, etc.
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Abundant Timing Strategies: Four timing strategies are supported, including CRON expression, fixed rate, fixed delay and OpenAPI which allows you to define your own scheduling policies, such as delaying execution.
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Multiple Execution Mode: Four execution modes are supported, including stand-alone, broadcast, Map and MapReduce. Distributed computing resource could be utilized in MapReduce mode, try the magic out here!
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Workflow(DAG) Support: Both job dependency management and data communications between jobs are supported.
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Extensive Processor Support: Developers can write their processors in Java, Shell, Python, and will subsequently support multilingual scheduling via HTTP.