Polling vs Webhooks: When to Use One Over the Other

January 16, 2026

Keeping customer data in sync across integrations is one of the hardest parts of building SaaS products.

Most teams eventually face the same question:

Should we poll APIs for changes, or rely on webhooks?

This is not just a feature choice. It determines where change detection lives, how much infrastructure your team owns, and how your system behaves under load.

For a breakdown of how unified API platforms implement virtual webhooks vs sync-based notification systems, see: Which Unified API Platforms Support Virtual Webhooks vs Sync-Based Notifications

Polling and webhooks solve different constraints. In practice, most systems use a combination of both.

This guide focuses on how each model works at a systems level, where it breaks down, and how virtual webhooks fit in when native webhooks are not available.

What is polling?

Polling is a client-driven model.

Your application periodically calls a third-party API to check whether anything has changed.

A typical polling loop:

1. Call a list endpoint (e.g. updated_since=timestamp)
2. Process returned records
3. Store a checkpoint
4. Wait for the next interval
5. Repeat

Where polling works well

Polling is widely used because it is simple and universally supported.

Advantages

• Works with any API
  If an integration exposes read endpoints, polling is available.
• Full control over execution
  You define the interval, retry behavior, and backoff strategy.
• Deterministic behavior
  Your system controls when reads happen and how failures are handled.

Where polling breaks down

As systems scale, polling introduces operational overhead.

Drawbacks

• Delayed updates
  Data is only as fresh as your polling interval.
• Inefficient API usage
  Many requests return no changes but still consume rate limits.
• Operational complexity
  You maintain:
  • schedulers
  • checkpoint tracking
  • pagination logic
  • deduplication
  • retry and backoff
• Rate-limit pressure
  Polling across many integrations and customers multiplies request volume.

Polling works best for low-urgency, batch-oriented workflows where freshness is not critical.

What is a webhook?

Webhooks invert the control model.

Instead of your application requesting updates, the source integration sends an event when something changes.

When an event occurs, the provider sends an HTTP request to your webhook endpoint containing information about the change.

Where webhooks work well

Advantages

• Timely updates
  Changes are delivered when they occur or shortly after.
• Reduced API usage
  No need to repeatedly request data when nothing has changed.
• Event-driven architecture
  Fits naturally with automation, notifications, and reactive systems.

The challenges with native webhooks

Webhooks introduce variability because they depend on the source integration.

Limitations

• Inconsistent support
  Many APIs do not support webhooks, or only support them for certain objects.
• Provider-specific behavior
  Retry logic, ordering, and payload structure vary.
• Delivery handling required
  Your system must handle:
  • retries
  • duplicate events
  • out-of-order delivery
  • partial failures
• Uneven reliability
  Some providers retry aggressively. Others do not retry at all.

Because of this, most systems end up combining webhooks with polling.

Native webhooks vs virtual webhooks

When native webhooks are not available, event delivery still requires change detection.

Native webhooks

Native webhooks are emitted by the source integration.

• The provider detects a change
• The provider sends an event
• Delivery behavior depends on the provider

Implication

• Retry guarantees vary
• Events may be missed if delivery fails
• Consumers should treat delivery as best-effort

Virtual webhooks (detect changes → deliver events)

Virtual webhooks move change detection into the integration layer.

Under the hood:

• The integration layer polls the source API
• Detects changes using timestamps, cursors, or diffs
• Delivers events through a webhook endpoint

From your application's perspective:

• You subscribe once
• Events arrive without polling logic in your system

Polling still exists—it is handled inside the integration layer instead of your application.

This is distinct from sync-based systems, where data is stored and events are emitted after scheduled updates.

Delivery semantics (important distinction)

How events are delivered matters as much as how they are generated.

Virtual webhooks

For virtual webhooks, the integration layer controls:

• when data is read
• how changes are detected
• when events are emitted

As a result:

• Events are emitted per detected change
• Retries are handled before delivery
• Event streams are consistent at the integration layer

Consumers should still implement idempotency to handle network-level duplication.

Native webhooks

For native webhooks:

• Delivery depends on the provider
• Retry behavior varies
• Events may arrive out of order or be duplicated

Consumers should assume:

• duplicate events
• possible ordering issues
• no guaranteed replay

Initial sync and ongoing updates

When subscribing to events, systems often need both historical data and incremental updates.

Initial sync

An initial backfill typically:

1. Retrieves existing records
2. Delivers data in batches
3. Emits a completion signal when finished

This process may trigger multiple webhook deliveries before steady-state operation begins.

Ongoing updates

After initial sync:

• Only new or updated records generate events
• Payloads may be batched
• Multiple deliveries may occur during high-change periods

Billing and cost considerations

Polling and event-driven models scale differently.

Polling

• Every request counts toward usage
• Empty responses still consume resources
• Pagination increases request volume

Event-driven delivery

• Usage is tied to events processed
• No cost for empty intervals
• Cost scales with actual data changes

This makes event-driven models more predictable for low-change datasets.

Handling duplicates and idempotency

Event-driven systems require idempotent handling.

Recommended approach:

• update records using the latest updated_at
• apply atomic writes
• ignore stale updates

This protects against:

• duplicate events
• rapid successive updates
• network retries

When to use each approach

Use polling when

• freshness is not critical
• batch processing is acceptable
• you need full control over scheduling
• provider webhook support is limited

Use native webhooks when

• the provider supports them reliably
• timely updates are required
• event coverage is sufficient

Use virtual webhooks when

• native webhooks are not available
• you want event-driven behavior without building polling infrastructure
• consistent delivery and centralized change detection matter

Final takeaway

Polling and webhooks are not interchangeable.

Polling gives control and universality, but introduces delay and operational overhead.

Webhooks provide event-driven behavior, but depend on provider reliability.

Virtual webhooks shift polling and change detection into the integration layer and deliver events through a webhook interface.

The real decision is not polling vs webhooks.

It is:

• where change detection lives
• how events are generated
• how much infrastructure your team owns

That choice determines whether your system is built around scheduled retrieval—or around events.

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