Stripe Data Pipeline sends all your up-to-date Stripe data and reports to Snowflake or Amazon Redshift 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 warehouse on an ongoing basis – no code required.
Create a single source of truth to speed up your financial close and access better insights. Identify your best performing payment methods, analyse fraud by location, and more.
Send your Stripe data directly to your data warehouse without involving a third-party extract, transform and load (ETL) pipeline.
Offload ongoing maintenance with a pipeline that’s built into Stripe. No matter how much data you have, your data is always complete and accurate.
Pick the data warehouse you would like to connect to Stripe.
Provide the account information associated with your data warehouse. Stripe shares your data using industry-leading security practices.
Once your historical data has loaded, new data will be regularly refreshed. Start querying your Stripe data and reports in your own data warehouse.Learn more about data freshness
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 Stripe’s out-of-the-box reports.
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 it’s 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 story
We 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.
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 wasn’t 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. Lime’s finance team can now track refunds in near-real time, allowing them to confidently report on the company’s latest cash status. Lime’s fraud team is also benefiting from improved fraud models.
Read the full Lime story
The 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.
Send your Stripe data to your data warehouse.
Get more information on how Stripe Data Pipeline works.
Create custom Stripe reports directly in Stripe using SQL.