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Stripe Data Pipeline sends all your up-to-date Stripe data and reports to your data storage destination in a few clicks. Centralise your Stripe data with other business data to close your books faster and unlock richer business insights.
Set up Stripe Data Pipeline in minutes and automatically receive your Stripe data and reports in your data storage destination on an ongoing basis no code required.
Centralise your Stripe data in one place to speed up your financial close, identify top payment methods, enhance AI models and more.
Send your Stripe data directly to your data warehouse or cloud storage without involving a third-party extract, transform, and load (ETL) pipeline.
Offload ongoing maintenance with a pipeline thats built into Stripe. No matter how much data you have, your data is always complete and accurate.
Data Pipeline can connect directly to your Snowflake, Redshift, BigQuery or Databricks account. It can also connect with cloud storage destinations. This allows you to send your data to a variety of additional warehouses.
Provide the account information associated with your data storage destination. Stripe shares your data using industry-leading security practices.
Your historical data takes up to six hours to load, and new data will be regularly refreshed every three hours. Start querying your Stripe data and reports in your own data warehouse, or use the structured files exported to your cloud storage destination.
Learn more about data freshnessBefore switching to Data Pipeline, Stripe users spent multiple months and as much as $800,000 building their own API integrations to export their Stripe data. They also needed to consistently monitor and update their home-grown solutions to support transaction updates, new datasets, schema changes, and other challenges as their data volumes grew.
Stripe Data Pipeline takes on all this operational work, so you can focus on empowering your business teams with actionable insights and building sophisticated AI models with clean, consolidated data.
With Stripe data easily accessible in your data warehouse, you can pull the insights you need without having to adopt a new business analytics tool. You can write custom queries from scratch or use Stripes out-of-the-box reports.
Learn how to use Stripes data tools to surface revenue opportunities and optimise your operations. This guide covers the key metrics that you can track to drive better business decisions.
ChowNow is a commission-free online food ordering platform that helps over 20,000 independent restaurants sustainably grow their delivery and takeaway businesses.
ChowNow wanted to better understand profitability, margin, and unit economics at both the customer and transaction levels without having to build an API integration or share its data with an ETL pipeline.
With Stripe Data Pipeline, ChowNow has a complete picture of its restaurant and diner customers all in one place. It can easily identify who and how much its charging for subscriptions and food orders.
It can also provide new insights to its restaurants and improve its fraud detection by looking at fraud signals, such as chargebacks, by restaurant.
By breaking down net margin per restaurant, ChowNow could optimise pricing of its commission-free product and improve restaurant retention.
Read the full ChowNow storyWe can immediately query Stripe data with other business data and confidently pull valuable customer and revenue insights to make the best decisions for our product and users without needing any engineering support.
, Director, GTM Analytics and Data Science, ChowNow
Lime, a global leader in micromobility, offers on-demand electric scooters and bikes to city dwellers in more than 100 countries.
Lime used a third-party ETL pipeline to export Stripe data to its data warehouse and noticed that the exported data wasnt always matching up with the data in Stripe. A data engineer would have to dive into the cause of each discrepancy, costing up to two hours of their time for each inconsistent transaction.
By adopting Stripe Data Pipeline, Lime saved weeks of engineering time because it did not have to build and maintain an API for every single Stripe data set. Out of the box, Lime was able to access its current Stripe data directly in its data warehouse. Limes finance team can now track refunds in near-real time, allowing them to confidently report on the companys latest cash status. Limes fraud team is also benefiting from improved fraud models.
Read the full Lime storyThe data quality and data freshness of Stripe Data Pipeline are a departure from third-party ETL pipeline vendors. Data imported through Stripe Data Pipeline always matches our reports exactly.
, Senior Director, Head of Data, Lime
Connect with leading data warehouses and cloud storage destinations, including:
Export reports that help you reconcile your account activity.
These reports are already available in Snowflake and will soon be added to Amazon Redshift.
These reports are already available in Snowflake and will soon be added to Amazon Redshift.
These reports are already available in Snowflake and will soon be added to Amazon Redshift.
Access the most complete Stripe dataset in your own data warehouse and cloud storage destinations. Fresh data is made available regularly.
Control and customise your exports.
Access your Stripe data in your data warehouse on an ongoing basis. There will be no additional charge from your data warehouse to ingest Stripe data.
per transaction
Charged when a user or connected account processes a transaction or submits an authorisation or payment request. All your Stripe data is automatically included.
Custom pricing is available for companies with large payments volume or unique business models.
Contact our sales team to learn more.
With Stripe Organizations, you can centrally manage all Stripe accounts in the Dashboard and send unified data from your organisation to your data storage using Data Pipeline.
Head to the Stripe Dashboard to start your 30-day free trial or contact us for custom pricing.
Use Stripe Sigma to create custom Stripe reports using SQL or AI-powered natural language prompts.
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