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Life & fun · June 14, 2021

GA

Get a Postgres replica with all your Stripe data

Get a Postgres replica with all your Stripe data launched on June 14, 2021 with 20 votes, #1,234 of 3,650 launches that month and more than 75% of that year's launches.

In plain words

This tool creates a PostgreSQL replica database populated with your Stripe data. It syncs transaction information, customer records, and other Stripe details into a queryable database, allowing users to analyze and work with their payment data in SQL. The service is designed for businesses and developers who need direct database access to their Stripe information for reporting, analysis, or integration purposes.

written from the facts on this page · September 2026

Does a similar job

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  • bit.io2021 · ▲130

    All your data in one place

  • SyncStaqAug 2026 · syncstaq.com · ▲98

    Stripe billing data, always current in Google Sheets

  • Stripe Sync Engine – Sync Stripe to Postgres2021 · github.com · ▲11

    Sync your Stripe account to you Postgres database. - stripe/sync-engine

  • Stripe-no-webhooks – Sync your Stripe data to your Postgres DBFeb 2026 · github.com · ▲66

    Hey HN, stripe-no-webhooks is an open-source library that syncs your Stripe payments data to your own Postgres database: https://github.com/pretzelai/stripe-no-webhooks. Here's a demo video: https://youtu.be/cyEgW7wElcs Why is this useful? (1) You don't have to figure out which webhooks you need or write listeners for each one. The library handles all of that. This follows the approach of libraries like dj-stripe in the Django world (https://dj-stripe.dev/). (2) Stripe's API has a 100 rpm rate limit. If you're checking subscription status…

  • Pg_replicate – Build Postgres replication applications in Rust2024 · github.com · ▲216

    A high-performance Postgres replication engine written in Rust. Embed it in your Rust application or run it as a standalone binary. - supabase/etl

  • BemiDB – Postgres read replica optimized for analytics2024 · github.com · ▲209

    Hi HN! We're Evgeny and Arjun, and we’re building a better way to do analytics with Postgres. We love Postgres for its simplicity, power, and rich ecosystem. But engineers have to still get bogged down with heavyweight and expensive OLAP systems when connecting an analytics data stack. Postgres is amazing at OLTP queries, but not for OLAP queries (large data scans and aggregations). Even in this case, we’ve still heard from countless scaling startups that they still try to use only a read replica to run analytics workloads since they don’t want to deal with the data engineering complexity of…

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