Stripe launches real-time sync to Postgres via Data Pipeline

Stripe has launched real-time sync to Postgres through Stripe Data Pipeline, allowing businesses to keep application databases current without building custom integrations. Previously, developers relied on repeated API calls or webhook infrastructure to copy Stripe data, requiring them to monitor for failed or out-of-order events and manually reconcile discrepancies.

How it works

The new feature sends payment, customer, subscription, and other Stripe data directly to Postgres databases. Supported providers include Supabase, AWS, Neon, and Databricks Lakebase. To set up a sync, users connect their Postgres database and select the specific Stripe tables needed; Data Pipeline then backfills the data and keeps it synchronized as source data changes. No code is required for the setup.

Reliability and availability

Data Pipeline automatically audits synchronized records against the source data in Stripe and resolves discrepancies, delivering updates in seconds. This replaces the need for developers to build and maintain their own monitoring and debugging systems for data consistency. Postgres is the first destination to support real-time syncing, with support for Snowflake, Google BigQuery, Amazon Redshift, Databricks, and cloud storage platforms coming soon. The feature is currently in public preview and free to use.