Paddle integration

Paddle data, in your warehouse.

A built-in ingestr connector: add credentials, pick tables, schedule it.

name: raw.subscriptions
type: ingestr
parameters:
  source_connection: paddle
  source_table: 'subscriptions'
  destination: snowflake
  incremental_strategy: merge

$ bruin run assets/raw/paddle.asset.yml

  1. extract · Paddle subscriptionsincremental
  2. load · snowflake raw.subscriptionsmerged
  3. checks · not_null, unique

Loaded and checked. Downstream models can run.

How it connects

Connected in three steps.

Complete payments infrastructure for SaaS companies handling billing, taxes, compliance, and subscription management globally.

  1. 01

    Add a Paddle connection with its credentials.

  2. 02

    Pick the tables to load and how: replace, append or merge.

  3. 03

    Bruin runs it on your schedule and checks every load.

Connection parameters

api_key
Paddle API authentication key
vendor_id
Paddle vendor identifier

Tables

6 tables, ready to load.

  • subscriptions
  • transactions
  • products
  • prices
  • customers
  • payouts

The platform

Part of the Bruin platform.

Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.

Frequently asked

Questions about Paddle.

Does Bruin have a built-in Paddle integration?

Yes. Built-in ingestr source.

Which Paddle tables can Bruin load?

subscriptions, transactions, products, prices, customers, payouts.

Where can Paddle data go?

Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.

How fresh is the data?

As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.

Do we need Bruin Cloud?

No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.

Ready to connect Paddle?

$100 in credits and 50 AI tasks. No credit card.

A demo walks through your own data.

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