Real-Time vs. Scheduled Synchronization

“We need everything in real time” is one of the most common integration requirements and one of the most expensive to satisfy literally. In practice, different data has very different freshness needs. This comparison helps you match each workflow to the right approach.

Definitions

Real-time (event-driven) synchronization: each change triggers processing shortly after it occurs, typically through webhooks, event buses, or change data capture. Delay is usually seconds to minutes.

Scheduled (batch) synchronization: a job runs at fixed intervals and processes all changes since the previous run. Delay is up to one interval plus processing time.

Comparison table

Dimension	Real-time	Scheduled
Data freshness	Seconds to minutes	Up to one interval
Infrastructure	Event receivers, queues, workers	Scheduler and a job
Complexity	Higher: ordering, duplicates, concurrency	Lower: one process, clear boundaries
API usage	Proportional to change volume	Proportional to frequency and dataset size; efficient for bulk
Load profile	Follows business activity; spikes during sales	Predictable bursts you can schedule off-peak
Failure behavior	Needs retries and dead-letter handling per event	Failed run is retried as a whole; easier to reason about
Monitoring	Continuous; queue age, failure rates	Run success, duration, records processed
Bulk efficiency	Many small calls	Can use bulk APIs (e.g. Shopify bulk operations, Adobe Commerce async/bulk endpoints, WooCommerce batch endpoints)

Workflow-by-workflow guidance

These are typical starting points, not rules. Your business may differ.

Workflow	Common choice	Why
Order export	Near-real-time + scheduled reconciliation	Fast fulfillment; reconciliation catches gaps
Inventory for fast-moving or low-stock items	Near-real-time	Overselling risk grows with delay
Inventory for large, stable catalogs	Frequent schedule + safety buffer	Cheaper; risk is low
Full inventory reconciliation	Nightly schedule	Detects drift without API pressure during the day
Shipment / tracking	Near-real-time or short schedule	Customers expect prompt notifications
Prices	Scheduled, or event-driven for promotions	Price changes are often planned
Product content and attributes	Scheduled	Rarely time-critical
Customer master data	Event-driven or scheduled	Depends on B2B requirements
Financial postings	Scheduled	Accounting processes are batch-oriented

Signs you need real-time

• Stock sells out within minutes during launches or promotions.
• Customer-facing promises depend on fast handoff (same-day shipping cut-offs).
• Multiple channels share the same stock pool.
• Operations staff currently re-key data because they cannot wait for the next batch.

Signs a schedule is enough

• The ERP itself processes in batches (for example, an hourly order import).
• Data changes infrequently.
• A short delay has no customer impact.
• Your team has limited capacity to operate event infrastructure.

The hybrid default

For important data, the strongest pattern combines both: an event-driven path for freshness and a scheduled reconciliation for correctness. The event path handles the normal case quickly; the reconciliation repairs whatever the event path missed. This is the approach Shopify recommends for webhooks, and it applies equally to other platforms.

Cost considerations

Real-time costs more to build and operate, but can reduce business costs such as oversells, manual re-keying, and late shipments. Scheduled sync is cheaper to build but can carry hidden costs if stale data causes errors. Compare the cost of the integration against the cost of the delay, per workflow. The cost estimation guide explains how latency requirements affect effort.

Summary

Real-time and scheduled synchronization are tools, not ideologies. Decide per workflow based on the business cost of stale data, the source and target systems’ capabilities, and your team’s operational capacity. For critical flows, combine an event-driven path with scheduled reconciliation.