Within Designer Cloud, Orchestrator allows anyone to operationalize and automate data workflows, with options for parallel or conditional execution, as well as pre- and post-processing.
Execute tasks based on specified conditions or execute in parallel to save time.
Connect data workflows with messaging services (like Slack, Teams, email, or PagerDuty). Then, receive proactive alerts when issues arise that may impact downstream fitness of data (such as changes to schema or distribution).
Share and collaborate on Orchestrator with others, making it easy to review, approve, or contribute expertise to speed up workflow design.
Alteryx Plans is now called Orchestrator.
Existing workflow capabilities continue in Orchestrator, including scheduling, notifications, workflow dependencies, and conditional task execution.
Teams are still able to manage complex data pipelines, connect downstream processes, and coordinate tasks across systems using centralized plans, as described in the Get Started with Orchestrator documentation.
Orchestrator gives teams a centralized view of workflow activity so itโs easier to understand how plans are running across connected analytics processes. Users can review previous runs, track in-progress tasks, and identify failures before downstream workflows are affected. Workflow dependencies remain visible as well, helping teams keep tasks running in the intended sequence.
Key reliability capabilities include:
Orchestrator helps teams coordinate connected analytics processes across Alteryx One. Plans can run on a schedule, be triggered manually, or execute through APIs. Workflow execution can branch based on success or failure conditions, making it easier to manage complex processes across data pipelines.
Workflows may include:
Orchestrator can also coordinate operational and downstream activities such as:
Task dependencies, parallel execution paths, and workflow-to-workflow data exchanges help connected processes run in the intended sequence.
