Paddle Webhooks vs Database Sync: Which is Better?

Comparing Paddle webhooks and database sync for getting billing data into PostgreSQL. Learn when to use each approach, and when to use both.

By Ilshaad Kheerdali · 9 Jun 2026

If you're building on top of Paddle Billing, you'll eventually need that data in your own database, to power dashboards, reconcile revenue, or join billing data against your product tables. There are two main ways to get it there: webhooks and database sync. Both work, but they solve different problems.

This post breaks down how each approach works with Paddle specifically, what tends to go wrong, and when you should reach for one over the other.

How Paddle Webhooks Work

Paddle webhooks (Paddle calls them notifications) are push-based. You create a notification destination in the Paddle dashboard, and when something happens, a transaction completes, a subscription is cancelled, a customer is created, Paddle sends an HTTP POST to your endpoint with the event payload.

Here's a typical handler in Express using the official Paddle Node SDK:

import express from 'express';

import { Paddle, EventName } from '@paddle/paddle-node-sdk';



const paddle = new Paddle(process.env.PADDLE_API_KEY);

const webhookSecret = process.env.PADDLE_WEBHOOK_SECRET;



app.post(

  '/webhooks/paddle',

  express.raw({ type: 'application/json' }),

  async (req, res) => {

    const signature = req.headers['paddle-signature'] as string;

    const rawBody = req.body.toString();



    let event;

    try {

      // Verifies the Paddle-Signature header and parses the payload

      event = await paddle.webhooks.unmarshal(

        rawBody,

        webhookSecret,

        signature,

      );

    } catch (err) {

      return res.status(400).send(`Webhook Error: ${err.message}`);

    }



    switch (event.eventType) {

      case EventName.TransactionCompleted:

        // Insert/update your transactions table

        break;

      case EventName.SubscriptionUpdated:

        // Update your subscriptions table

        break;

      case EventName.CustomerCreated:

        // Insert into your customers table

        break;

      // ... handle dozens more event types

    }



    res.status(200).send('ok');

  },

);

That's the gist. Paddle pushes events to you in near real-time, and your server processes them.

The Problems with Paddle Webhooks

Webhooks are great in theory. In practice, Paddle's push model comes with a familiar list of operational headaches:

Signature verification with a timestamp window. Paddle signs each request with the Paddle-Signature header, which contains a timestamp (ts) and an HMAC-SHA256 hash (h1). You have to rebuild the signed payload as ts:body, hash it with your endpoint secret, and compare — while also rejecting stale timestamps to prevent replay attacks. Get the raw-body handling wrong (parse the JSON too early and the bytes no longer match) and every signature fails.

Sandbox and live are completely separate. Paddle runs sandbox and production as isolated environments with different API keys and different webhook secrets. The classic outage: everything works in sandbox, you go live, and prod silently drops every event because the endpoint is still pointed at the sandbox secret.

Missed events during downtime. If your endpoint is down or returns a non-2xx, Paddle connects your PostgreSQL database and syncs Paddle data, customers, subscriptions, transactions, products, prices, adjustments, and discounts, in about 5 minutes. It auto-creates the destination tables, upserts on every run so there are no duplicates, and recovers from downtime automatically on the next scheduled sync. There's a free tier, no credit card required.

The same model works for Stripe, QuickBooks, and Xero too, so if you bill across more than one provider, all of it lands in the same Postgres database.

Frequently Asked Questions

Does Paddle have a built-in PostgreSQL integration?

No, Paddle doesn't ship a native sync to PostgreSQL or any other database. The two official ways to get data out are webhooks (push, real-time, you build the handler) and the Paddle API (pull, on-demand, you build the polling logic). Everything else is third-party. To get Paddle data into your own Postgres for analytics or accounting, you either write your own pipeline or use a sync tool like