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      Powerful server-side solution for collect and connect customer data

    • Marketing ETLMarketing ETL

      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
Stripe to Amazon Redshift

ETL Stripe data to Amazon Redshift

Start free trial

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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Stripe is a leading payment platform trusted by businesses worldwide.
Renta Marketing ETL seamlessly moves your Stripe data into Amazon Redshift, empowering your team with up-to-date, actionable insights for marketing and business analysis.
Enjoy automated, secure data transfers that save time and help you make smarter, data-driven decisions.

Set up your ELT pipeline in 3 simple steps

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

Selecting Stripe as the data source in Renta.
1Connect your source

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

Selecting Stripe as the data source in Renta.
2Identify the destination
3Configure and synchronize
The data structure of the Stripe API

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

Customers

Represents individual or business entities that interact with your platform. Contains data such as customer profiles, contact information, payment methods, and billing history.

Charges

Records individual payment transactions made by customers. Includes details like amount, currency, payment method, status, and associated customer.

Payments Intents

Manages the lifecycle of a payment from initiation to completion. Stores information about payment amount, status, method, and any required authentication steps.

Invoices

Represents billing documents issued to customers. Contains line items, amounts, due dates, payment status, and links to related subscriptions or charges.

Payouts

Tracks transfers of funds from your Stripe account to external bank accounts. Includes payout amounts, destination details, status, and timing.

Refunds

Captures information about returned funds to customers for previous charges. Contains refund amounts, reasons, status, and links to the original charge.

Subscriptions

Manages recurring billing agreements with customers. Stores subscription status, billing intervals, associated plans, and linked customer data.

Use cases

Unlock actionable Stripe insights

  • Track monthly Stripe revenue trends in Redshift for accurate forecasting
  • Identify high-value customers by analyzing Stripe payment data in Redshift
  • Detect failed payments and churn risks by syncing Stripe events to Redshift
  • Automate financial reporting by consolidating Stripe transactions in Redshift
  • Measure campaign ROI by linking Stripe payments with marketing data in Redshift
  • Monitor subscription growth and retention rates using Stripe data in Redshift
Start free trialNo credit card required
Use cases: Stripe and Amazon Redshift 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
  • Salesforce → Bigquery
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  • Google Sheets → Snowflake
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  • How to load LinkedIn Ads data into Google BigQuery

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