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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
Stripe to SQL Server

ETL Stripe data to SQL Server

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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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Stripe is a powerful payment processing platform trusted by businesses worldwide.
Renta Marketing ELT seamlessly transfers your Stripe data to SQL Server, enabling real-time analytics and deeper marketing insights.
Experience fast, secure, and automated data integration designed for data engineers and marketing professionals.

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 customers in Stripe, containing data such as contact information, payment methods, and billing details. Used to manage and track customer profiles and their transaction history.

Charges

Records payment transactions made by customers, including details like amount, currency, payment method, and status. Essential for tracking successful and failed payments.

Invoices

Represents itemized bills sent to customers, containing line items, amounts due, payment status, and links to associated subscriptions or charges. Useful for managing recurring and one-time billing.

Payments Intents

Handles the lifecycle of a payment, including authentication and confirmation steps. Stores information about the intended amount, currency, payment method, and status.

Payouts

Tracks transfers of funds from Stripe to a connected bank account. Includes details such as payout amount, destination, status, and timing.

Refunds

Manages the process of returning funds to customers for specific charges. Contains data on refunded amounts, reasons, and associated charge references.

Subscriptions

Represents recurring billing agreements with customers, including plan details, billing cycles, status, and associated customer and invoice data.

Use cases

Unlock actionable Stripe insights

  • Track monthly Stripe revenue trends alongside product usage in SQL Server dashboards
  • Identify high-value customers by merging Stripe payment data with user profiles in SQL
  • Automate failed payment alerts by syncing Stripe events to SQL Server for real-time monitoring
  • Analyze churn rates by correlating Stripe cancellations with customer activity in SQL
  • Forecast cash flow by aggregating Stripe payouts and refunds in SQL Server reports
  • Segment customers for upsell campaigns using Stripe transaction history in SQL queries
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Use cases: Stripe and SQL Server 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
  • Google Ads → Bigquery
  • Facebook Ads → Bigquery
  • Facebook Ads → Snowflake
  • Google Sheets → Bigquery
  • Google Sheets → Snowflake
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