How much does it cost to replicate data from Paddle to Google BigQuery?

The cost depends on the amount of data in your Paddle that you want to replicate to Google BigQuery. Check out our [pricing page](https://renta.im/pricing/) for more information. You can also [request a demo](https://renta.im/demo/) at any time!

Is there a limit on the amount of pipelines from Paddle to Google BigQuery?

The amount of data streams you can create is not limited. Moreover, the amount of created integrations does increase the data replication price either.

How much time do I need to create a Paddle and Google BigQuery integration?

Renta's user-friendly interface allows you to create integrations in less than 5 minutes. All you need to start is your login data to Paddle and Google BigQuery.

ETL Paddle data to Google BigQuery

Renta ELT is a simple way to create data pipelines in minutes. Not months.

Trusted by teams at

Paddle is a comprehensive platform for managing SaaS payments and subscriptions.
Renta Marketing ELT seamlessly transfers your Paddle data to Google BigQuery, empowering you with up-to-date insights for advanced marketing analytics.
Enjoy automated, secure, and reliable data integration designed for data-driven teams and modern marketing leaders.

Set up your ELT pipeline in 3 simple steps

Select Paddle as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Paddle as the data source in Renta.

1Connect your source

Select Paddle as your data source and securely authenticate your account to initiate the data extraction process.

2Identify the destination

3Configure and synchronize

The data structure of the Paddle API

Renta supports 7 methods of data export using the Paddle API.

List Products

Retrieves a list of all products configured in your Paddle account, including product IDs, names, and pricing details. Useful for catalog management and product synchronization.

List Subscriptions

Returns detailed information about active and inactive subscriptions, such as subscription IDs, status, customer details, plan information, and billing cycles.

List Users

Provides a list of users (customers) associated with your Paddle account, including user IDs, contact information, and purchase history.

List Transactions

Fetches transaction records, including payment IDs, amounts, currencies, product references, and timestamps. Essential for revenue tracking and financial analysis.

List Payments

Returns payment details for completed, pending, or refunded payments, including payment method, status, and associated customer and product data.

List Refunds

Retrieves information about processed refunds, such as refund amounts, reasons, related transaction IDs, and customer details.

List Webhooks

Displays configured webhook endpoints and their statuses, enabling monitoring and management of event-driven integrations.

Use cases

Unlock actionable Paddle insights

Track subscription churn rates by product and region for targeted retention strategies
Combine Paddle revenue data with web analytics to measure campaign ROI in BigQuery
Automate MRR and ARR reporting by syncing Paddle transactions to BigQuery dashboards
Identify upsell opportunities by analyzing customer purchase patterns across Paddle and CRM data
Monitor failed payments in real-time to trigger proactive customer outreach
Segment customers by lifetime value using Paddle payment history in BigQuery