paddle_transactionsSync Paddle to PostgreSQL
No Code Required
Codeless Sync auto-creates your PostgreSQL tables and keeps your Paddle data in sync — works with Supabase, Neon, AWS RDS, Railway and more.
Free plan included • No credit card required • Works with any PostgreSQL database
Skip the Boilerplate, Keep the Control
No notification URLs to configure or event signatures to verify — Codeless Sync moves your Paddle billing data into PostgreSQL automatically.
5-Minute Setup
Paste your Paddle API key, choose a data type, and your first sync to PostgreSQL runs in minutes. No notification URL endpoints or signature verification required.
Full Historical Backfill
Backfill every Paddle subscription, transaction, and customer into your PostgreSQL database since your account was created. CLS paginates through the Paddle Billing API automatically.
Scheduled Syncing
Schedule syncs to keep your PostgreSQL tables current. CLS handles event deduplication so your tables stay clean without duplicate records.
Zero Maintenance
No notification endpoints to monitor. CLS manages retries, deduplication, and writes to your PostgreSQL tables for you.
Not just Paddle — also supports Stripe, QuickBooks, Xero. Works with Supabase, Neon, Railway, AWS RDS, and any PostgreSQL database. See all platforms
4
Providers
Paddle, Stripe, QuickBooks & Xero — expand when ready
5+
Databases
PostgreSQL, Supabase, Neon, AWS RDS, Railway & more
7
Paddle Data Types
Customers, subscriptions, transactions & 4 more Paddle tables
5 min
Setup
Paste PostgreSQL connection string, add Paddle key, sync
Why Paddle + PostgreSQL?
Any PostgreSQL host works with Codeless Sync. Syncing Paddle to PostgreSQL gives you full SQL access to subscription lifecycle data — from trial signups through renewals, upgrades, and cancellations. Build custom MRR dashboards, churn analysis reports, and revenue forecasting with standard SQL.
No vendor lock-in means you choose the PostgreSQL provider that fits your needs. Whether you are on Supabase, Neon, Railway, AWS RDS, or self-hosted, your Paddle sync configuration stays the same.
A typical setup: a developer pastes any PostgreSQL connection string, enters their Paddle API key, auto-creates subscription and transaction tables, and starts building MRR dashboards and churn reports with standard SQL.
Exploring other options? See how Codeless Sync works with Paddle to Supabase, Stripe to PostgreSQL, and Paddle to Neon.
How Codeless Sync Handles the Paddle-to-PostgreSQL Pipeline
Paddle's API provides access to subscription lifecycle data, transaction history, customer records, product catalogues, and tax calculations. Building a sync pipeline from scratch means handling API pagination, managing authentication, implementing idempotent writes, and mapping Paddle's nested JSON responses to flat database columns. Codeless Sync does all of this behind a single configuration screen, delivering typed PostgreSQL rows from your Paddle data.
Because Codeless Sync connects via a standard PostgreSQL connection string, your Paddle data lands in whatever database you choose — Supabase, Neon, Railway, AWS RDS, or self-hosted. Migrate between providers by updating one connection string; your sync configuration stays the same. This provider-agnostic design means you choose your database based on features and pricing, not on tool compatibility.
Each sync uses upserts keyed on Paddle entity IDs, so re-running a full sync never creates duplicates. Incremental syncs pull only records modified since the last run, keeping API usage efficient. Paddle's tax-inclusive pricing model is preserved: tax amounts, currency codes, and exchange rates are stored as separate typed columns, enabling accurate revenue reporting without recalculating tax in your application code.
Once Paddle data is in PostgreSQL, you get the full power of SQL for billing analytics. Calculate MRR with a window function across synced transactions. Track churn by querying subscription status changes over time. Build cohort analysis by grouping customers by signup month. Connect any BI tool — Metabase, Grafana, Tableau, or Looker — directly to your PostgreSQL database for visual dashboards that update with every sync.
Paddle's custom_data fields (arbitrary JSON attached to subscriptions and other entities) are stored as JSONB columns, so you can query nested properties with PostgreSQL JSON operators. This means metadata you set in Paddle — like internal customer IDs, feature flags, or plan tiers — is fully queryable in SQL without additional ETL steps.
Works with your PostgreSQL database
Paddle data synced to popular PostgreSQL platforms and many more
How It Works
Add your Paddle API key, connect your PostgreSQL database, and auto-create subscription tables with zero configuration.
Connect PostgreSQL
Paste your PostgreSQL connection string. We verify the connection instantly.
Add Paddle Key
Enter a read-only Paddle API key. We test it before proceeding.
Auto-Create Table
One click creates properly typed Paddle subscription tables in your PostgreSQL database — tax-inclusive pricing columns included.
Sync
Trigger a full Paddle backfill or schedule automatic syncs. No notification URLs or webhook signatures to manage — data lands in PostgreSQL automatically.
What Paddle Data Can You Sync?
Subscriptions, transactions, customers, and more — every Paddle entity syncs to PostgreSQL with typed columns ready for revenue analytics.
Customers
Customer profiles, emails, and custom data
id, email, name, status, created_at, updated_at
Subscriptions
Plans, billing cycles, statuses, and scheduled changes
id, customer_id, status, started_at, current_billing_period, scheduled_change, canceled_at
Transactions
Payments, invoices, amounts, currencies, and statuses
id, customer_id, subscription_id, status, total, currency_code, created_at
Products
Product catalog with names, descriptions, and tax categories
id, name, description, tax_category, status, created_at
Prices
Pricing models, amounts, currencies, and billing intervals
id, product_id, unit_price_amount, unit_price_currency, billing_cycle, status
Adjustments
Refunds, credits, chargebacks, and proration adjustments
id, transaction_id, action, amount, currency_code, reason, created_at
Discounts
Discount codes, amounts, usage limits, and restrictions
id, code, description, amount, type, usage_limit, status
More Paddle data types are being added regularly. View SQL templates for full column details.
Paddle Webhooks vs Codeless Sync
Paddle notifications require URL configuration and signature verification per event type. For full billing data in PostgreSQL, Codeless Sync is the faster path.
| Feature | Paddle Webhooks | Codeless Sync |
|---|---|---|
| Setup time | Configure notification URL, verify signatures, parse event types | 5 minutes to your PostgreSQL database |
| Code required | Endpoint, signature verification, event type routing | None |
| Schema management | Manual SQL migrations for subscriptions, transactions, etc. | Auto-created tables in your PostgreSQL project |
| Historical data | Only new events — must use API to backfill existing records | Full backfill into PostgreSQL on first sync |
| Error handling | Build retry logic, handle duplicate notifications yourself | Built-in retries and logging |
| Maintenance | Monitor endpoint, update for Paddle Billing API changes | Zero — PostgreSQL tables update automatically |
Need real-time event handling (e.g., sending emails on new subscriptions)? Use webhooks for that.
Need queryable Paddle data in your PostgreSQL database? That is what Codeless Sync is for.
What You Can Do With Paddle Data in PostgreSQL
With Paddle subscription data in PostgreSQL, revenue tracking and subscriber analytics become simple SQL queries — no event log parsing.
Customer dashboards
Join Paddle customer data with your users table to build billing dashboards powered by standard SQL queries.
Revenue analytics
Run SQL aggregations on Paddle transactions, subscriptions, and adjustments directly in your PostgreSQL database — no API pagination or event log parsing.
Churn analysis
Query Paddle subscription statuses, cancellation timestamps, and paused-at dates in your PostgreSQL database to identify at-risk subscribers and reduce churn.
Admin tools
Build internal tools that read from synced Stripe tables instead of calling the Stripe API on every request.
More Than Just Paddle to PostgreSQL
Codeless Sync supports multiple providers and PostgreSQL platforms. Start with Paddle, expand whenever you need.
Sync from Paddle and other providers
- Paddle — your active subscription sync
- Stripe — add payment data next
- QuickBooks — accounting & financial data
- Xero — multi-org financial data
Sync to any PostgreSQL-compatible database
- Supabase — open-source Firebase alternative
- Neon — serverless PostgreSQL
- Railway, Render, Heroku Postgres
- AWS RDS, Google Cloud SQL, Azure
Any PostgreSQL database with a connection string works. Switch from Paddle sandbox to live mode without reconfiguring your PostgreSQL database. See all platforms
Frequently Asked Questions
Does Codeless Sync modify my Paddle account?
No. Codeless Sync uses read-only API access. We only read data from Paddle and write it to your PostgreSQL database. Your Paddle account is never modified.
Which PostgreSQL providers are supported?
Codeless Sync works with any PostgreSQL database that accepts a standard connection string — including Supabase, Neon, AWS RDS, Railway, Heroku Postgres, and self-hosted instances.
How often can I sync my Paddle data to PostgreSQL?
Free users can trigger manual syncs at any time. Paid plans include automated scheduled syncs that run hourly, daily, weekly, or monthly, so your PostgreSQL tables stay up to date without any manual work.
What happens if my PostgreSQL database already has a Paddle table?
Codeless Sync checks for an existing table during setup. If the table already exists with a compatible schema, it will use it. If it does not exist, Auto-Create Table will create it for you in one click.
Can I sync multiple Paddle data types at once?
Yes. You create a separate sync configuration for each data type (customers, invoices, subscriptions, etc.). Each configuration syncs independently, so you can choose exactly what data lands in your PostgreSQL database.
Does CLS sync Paddle catalog data (products and prices)?
Yes. Products, prices, and discounts are synced alongside transactional data like subscriptions and transactions.
Can I build a custom billing portal with synced Paddle data?
Yes. Query synced subscription and customer tables from any PostgreSQL client to power self-service billing pages, usage displays, and invoice history.
Does CLS sync Paddle custom_data fields as JSONB columns?
Yes. Custom data attached to Paddle entities is stored as JSONB, so you can query nested fields with PostgreSQL JSON operators.
Does CLS support PostgreSQL 15+ features like MERGE for Paddle upserts?
CLS uses standard INSERT ON CONFLICT for upserts, which works on all PostgreSQL versions from 9.5 onwards.
Ready to Sync Paddle to PostgreSQL?
Sync your Paddle billing data to PostgreSQL in 5 minutes. No notification endpoints, no signature verification, no maintenance.
Free plan forever • Works with any PostgreSQL project • Upgrade anytime • Cancel in seconds