This is a major release, bringing significant performance improvements, as well as some key features moving out of experimental phase, plus full support for Spring Boot 2.0. Check the completely revised documentation for more details. The highlights are listed below.
Performance enhancements, read details here: https://www.flowable.com/blog/flowable-6-3-0-performance-benchmark/
Dynamic task and subprocess injection into running process instances is now fully supported
History can be configured on individual process definitions
A new ‘triggerable‘ service task that executes services externally and calls the engine when done
Support for a transaction-lifecycle based event listener
CMMN is now a fully supported engine
REST API support for all CMMN services and operations
Support for asynchronous service tasks, required rule, autocomplete, completion neutral, User event listeners and manual activation rules
Script task type has been added
Support for viewing and managing CMMN data in the Admin app
Support for collection expressions, such as IN and NOT IN
Improved decision table editor user experience
Support for viewing and managing decision executions in the Admin app
All apps have been fully updated to use Spring Boot 2.0. One property file is used for configuration
Support for expressions in the options fields, including dropdown, radio and hyperlink fields
Support for a password fields in the form editor and runtime
Multi–tenancy support in the Modeler by defining the active tenant in the Modeler property file
Available on GitHub.
Optimizing end-to-end business automation can be a tall task for legacy systems that lack integration abilities such as APIs. But robotic process automation can provide a successful interim transition to replacing these when time to market is crucial.
Enterprises need to process a large volume if documents daily — quickly and accurately. Flowable uses Intelligent Document Processing (IDP) to improve content processing and support enterprises in managing documents end-to-end.
CMMN was mainly designed with case management in mind to handle dynamic, human-driven processes, where the execution is not always a straight line, but might involve human decision to drive the process forward. But it can do way more than that.