Data & State Management

This section explains how to keep Scheduler data in sync with your application state. It covers the recommended React-driven model (React or a store as the source of truth), the performance-focused Scheduler-managed model, and practical implementations for popular state libraries.

Start here

Read this first to understand the two supported data models and the common integration patterns:

• Data Binding & State Management Basics

It explains how to use data.save and data.batchSave callbacks, how loading fits into each model, and what changes when Scheduler manages data internally.

Pick your state library

Each tutorial below applies the same core pattern (state -> props -> Scheduler, changes -> callbacks -> state), but uses the idioms of the specific library:

• Redux Toolkit
• Zustand
• MobX
• XState
• Jotai
• Valtio

Real-time sync

If you need live updates, start here:

• Firebase Integration

Performance notes

If your app performs large operations (bulk edits, frequent updates, big datasets), pay attention to:

• using data.batchSave to reduce update overhead,
• the Scheduler-managed data model when React does not need to reflect every change immediately.

Both topics are covered in Data Binding & State Management Basics.