Webhooks vs. Polling: When Each Is Actually the Right Choice
Webhooks are not always the right answer. Polling has been quietly winning back ground in some scenarios. Here is a practical decision framework, with the tradeoffs that matter at scale.
The Default Answer Is Often Wrong
The blog-post wisdom is "webhooks good, polling bad." Webhooks are real-time, polling is wasteful, end of story.
In practice, the right answer depends on traffic shape, reliability requirements, and how much infrastructure you want to run. There are real scenarios where polling beats webhooks — and they're more common than the conventional wisdom suggests.
When Webhooks Win
Webhooks are the right choice when:
- Events are sparse and unpredictable. A user signs up once. An order gets refunded once. Polling for these is mostly empty calls.
- Latency matters. A user expects their action to reflect immediately. Polling intervals add lag by definition.
- You don't control the source. When Stripe or GitHub is the system of record, you don't get to query their internal state continuously — you take what they push.
- Volume is moderate. Hundreds to low thousands per minute, where each event triggers meaningful work.
This is most SaaS integrations, most B2B notifications, most webhooks-as-API patterns.
When Polling Wins
Polling is the right choice when:
- The source produces a continuous stream. A trading API, a sensor feed, a log stream. You're going to be reading constantly anyway — webhooks just add overhead.
- You need exactly-once and deterministic ordering. Webhooks are best-effort by design. Pulling from a paginated, ordered API gives you control over what you've consumed and what's next.
- The data is queryable as state, not events. "What's the current balance?" is a polling question. "Did the balance change?" is a webhook question. Many integrations conflate the two.
- You can't expose a public endpoint. Air-gapped environments, customer firewalls, regulated networks — sometimes outbound HTTP is the only option.
- The source rate-limits webhook endpoints. Some APIs throttle webhooks aggressively but allow generous polling.
- Reliability of receipt is more important than latency. A pull model lets you guarantee you've seen every record by paginating through; a push model relies on the sender's retry policy.
The Hybrid Pattern (Often the Best Answer)
For systems where you genuinely care about reliability, the strongest pattern is webhooks for latency, polling for correctness.
How it works: you receive webhooks normally for fast reaction. Separately, every few minutes, you poll the provider for the last hour's worth of events and reconcile against what you actually received. Anything missing gets processed late but correctly.
Stripe officially recommends this pattern. Their docs say outright: rely on the Events API as your source of truth, use webhooks for speed.
The cost is one extra background job. The benefit is an end-to-end correctness guarantee that pure webhooks cannot give you.
What People Get Wrong About Polling Cost
The standard objection to polling is "wasted requests." This is overstated.
A poll every 30 seconds is 2,880 requests per day per resource. Most APIs don't care. Most rate limits are far above that. Most billing models charge per request and the cost is fractions of a cent.
What's actually wasted: developer attention thinking about it. If you have 50 things to poll, you need a job scheduler, retry logic, cursor management, and observability. That's real engineering work. For 1-2 things, polling is genuinely cheap. For 50+, the operational overhead of webhooks usually wins.
What People Get Wrong About Webhook Cost
The standard advocacy for webhooks is "no wasted requests, push only when needed." Also overstated.
Real-world webhooks come with: signature verification on every request, retry logic for downstream failures, deduplication infrastructure, an always-up endpoint that scales to handle bursts, monitoring for silent failures, and the operational burden of what happens when the provider disables your endpoint after too many failures.
The infrastructure cost of operating a reliable webhook receiver is meaningful. It just doesn't show up in the "requests per day" metric people use to compare.
Decision Framework
Ask yourself, in order:
- Can I poll without violating rate limits? If no, webhooks. If yes, continue.
- Does latency under 1 minute matter for this use case? If no, polling is probably fine. If yes, continue.
- Is missing an event tolerable? If no (financial data, audit logs), webhooks alone are insufficient — you need polling reconciliation regardless. If yes, webhooks alone are fine.
- Do I want to operate webhook infrastructure? If no, either poll or use a relay (Hookbase, Svix, Hookdeck). If yes, webhooks direct.
Where Hookbase Fits the Picture
If your answer to #4 is "no, I'd rather not operate webhook infrastructure," that's our pitch. Hookbase handles the receiving, verification, retry, deduplication, and observability layer. You get webhook latency without the operational burden.
If your answer is "I want both webhooks and polling reconciliation," we can help with that too — Hookbase stores every received event for 30+ days, so your reconciliation job can query our API instead of the provider's.