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      Powerful server-side solution for collect and connect customer data

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      Create secure customer’s data pipelines to any data warehouses

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      Stories on how to use customer data for company growth

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      Learn how to install, set up, and use Renta tools.

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  • Product
    • First-party trackingFirst-party tracking

      Powerful server-side solution for collect and connect customer data

    • Marketing ETLMarketing ETL

      Create secure customer’s data pipelines to any data warehouses

  • Resources
    • BlogBlog

      Stories on how to use customer data for company growth

    • DocumentationDocumentation

      Learn how to install, set up, and use Renta tools.

  • Pricing
  • Connectors
Log in
Contact sales
Sign up
Renta
Marketing ETL
Paddle to Databricks

ETL Paddle data to Databricks

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Free for 7 days. No credit card required.

Source
Destination
Renta ELT is a simple way to create data pipelines in minutes. Not months.
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Paddle is a leading payment infrastructure platform for SaaS businesses.
Renta Marketing ELT seamlessly moves your Paddle data into Databricks, giving you instant access to unified, up-to-date insights for analytics and reporting.
Enjoy automated, secure data integration that empowers your team to make smarter, data-driven decisions.

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.

Selecting Paddle as the data source in Renta.
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, prices, and billing types. Useful for catalog management and integration with external systems.

List Subscriptions

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

List Users

Fetches customer records associated with your Paddle account, including user IDs, contact details, and purchase history. Enables user segmentation and personalized communication.

List Transactions

Provides a comprehensive log of all transactions, including payments, refunds, and chargebacks, with associated metadata like transaction IDs, timestamps, and amounts. Critical for financial reporting and reconciliation.

Get Subscription Payments

Returns payment history for a specific subscription, detailing payment dates, amounts, statuses, and related invoice information. Supports revenue tracking and customer support workflows.

Update Subscription

Allows modification of subscription parameters, such as plan changes, billing intervals, or status updates. Facilitates customer account management and automated subscription adjustments.

Cancel Subscription

Enables the cancellation of an active subscription, specifying the reason and effective date. Supports churn analysis and automated customer offboarding processes.

Use cases

Unlock actionable Paddle insights

  • Sync Paddle subscription data to Databricks for real-time revenue analytics
  • Identify churn risk by analyzing Paddle transaction trends in Databricks
  • Enrich customer profiles by merging Paddle payments with product usage data
  • Automate MRR and ARR reporting by integrating Paddle with Databricks dashboards
  • Segment high-LTV customers by combining Paddle billing and engagement metrics
  • Detect and flag fraudulent transactions by cross-referencing Paddle and app data
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Use cases: Paddle and Databricks integration
TEMPLATES

Start quickly with these use case templates

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Frequently asked questions
Reliable data ingestion for your Modern Data Stack

Free for 7 days. No credit card required.

Automate extraction from 100+ connections. 99.9% Uptime SLA.

Product
  • Marketing ETL
  • First-party data streaming
Popular connectors
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  • How to load LinkedIn Ads data into Google BigQuery

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