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Workflows

Workflows are the core of the platform. A workflow is a visual graph of nodes connected by edges that defines an automated data processing pipeline.

Key Features

  • Visual builder — drag-and-drop canvas for designing workflows
  • 30+ node types — triggers, data transformation, database operations, file transfer, and more
  • Parallel execution — independent branches run concurrently for faster processing
  • Versioning — track changes with working and published versions
  • Real-time monitoring — watch executions as they happen

Workflow Structure

Every workflow consists of:

  1. A trigger node — determines when and how the workflow starts (manual, webhook, schedule, or DataStore change)
  2. Processing nodes — perform operations like data transformation, database queries, HTTP requests, etc.
  3. Edges — connections between nodes that define data flow

Nodes execute in dependency order. When a node completes, its output flows to all connected downstream nodes. Nodes without dependencies on each other run in parallel automatically.

Getting Started