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Stripe Sessions 2026 See how Stripe is building the economic infrastructure for AI.
By stage
By use case
By industry
Ecosystem
Documentation
Guides
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Learn
Support
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Payments
Revenue
Money management
Platforms and marketplaces
More
Stripe Sessions 2026 See how Stripe is building the economic infrastructure for AI.
By stage
By use case
By industry
Ecosystem
Documentation
Guides
Resources
Learn
Support
Company
Contact
Sync your Stripe account with your data warehouse or cloud storage
Stripe Data Pipeline sends your up-to-date Stripe data and reports to your data storage destination in a few clicks. Centralize your Stripe data with other business data to close your books faster and unlock richer business insights.
Churn has decreased in comparison to last year
0.005
0.004
0.003
0.002
0.001
Enterprises saw the highest revenue growth QoQ.
Q2 2025
Q3 2025
Quarter Customer Segment Customers Total Revenue
1 Q1 2025 Enterprise 2,296$104,375,374
2 Q1 2025 Mid-Market 8,357$63,473,264
3 Q1 2025 SMB 25,289$33,682,974
4 Q1 2025 Startup 10,583$2,174,473
5 Q2 2025 Enterprise 2,841$118,432,817
6 Q2 2025 Mid-Market 8,472$67,843,492
7 Q2 2025 SMB 24,319$34,127,653
8 Q2 2025 Startup 12,683$2,341,228
9 Q3 2025 Enterprise 2,974$148,217,634
10 Q3 2025 Mid-Market 8,891$72,214,786
Top 5 accounts with the highest fraud rates
0.7%
0.65%
0.6%
0.55%
0.5%
Automate data delivery at scale
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.
Establish a single source of truth
Centralize your Stripe data in one place to speed up your financial close, identify top payment methods, enhance AI models, and more.
Use a direct and secure integration
Send your Stripe data directly to your data warehouse or cloud storage without involving a third-party extract, transform, and load (ETL) pipeline.
Avoid data outages and delays
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.
Data Pipeline includes access to Stripe Sigma—our custom reporting tool
Build custom reports on your Stripe data directly in the Dashboard using Stripe Sigma, then send them to your data warehouse using Data Pipeline—giving you a centralized view of your business.
How it works
Set up your pipeline in minutes—no data engineering required
1
Select your data warehouse or cloud storage
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.
2
Connect your account
Provide the account information associated with your data storage destination. Stripe shares your data using industry-leading security practices. 3
You’re set
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.
For data engineering
Save the time and resources required to build and maintain an API integration
Before 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 homegrown solutions to support transaction updates, new datasets, schema changes, and other challenges as their data volumes grew.
Import your Stripe data via API integration
JAN
FEB
MAR
APR
MAY
JUN
JUL
Build pipeline
Structure data
Encrypt data
Acceptance testing
Live
Maintain and monitor pipeline
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.
Import your Stripe data via Data Pipeline
JAN 1
JAN 2
Activate Data Pipeline
Live
For business teams
Get answers faster with centralized 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 Stripe’s out-of-the-box reports.
•Close your books faster
•Identify revenue growth opportunities
•Improve fraud and risk modeling
•Optimize sales and marketing campaigns
•Enhance performance of AI/ML models
Finance Analytics Security Product Marketing
How does cash flow change based on seasonality?
What is our current cash status?
What is the cause of this month’s revenue loss?
Which product bundles generate the most revenue?
What are the most popular subscription plans per segment?
How much revenue is generated from in-store versus online purchases?
Which payment methods are the most vulnerable to fraud in California?
Which sales channels are prone to fraud?
Where do customers request chargebacks the most?
What is the average time between account creation and first order?
Do weather patterns influence product adoption?
Which payment methods are the most common for each sales channel?
Which marketing channels generate the most revenue?
What was the revenue impact of the latest promotion?
How much revenue is generated at each phase of the customer lifecycle?
ChowNow uncovers new growth opportunities and payment insights
ChowNow is a commission-free online food ordering platform that helps over 20,000 independent restaurants sustainably grow their delivery and takeout businesses.
Challenge
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.
Solution
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 optimize pricing of its commission-free product and improve restaurant retention.
> 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.
>
> Tim Reilly, Director, GTM Analytics and Data Science, ChowNow
Lime improves accuracy and speed of financial reconciliation
Lime, a global leader in micromobility, offers on-demand electric scooters and bikes to city dwellers in more than 100 countries.
Challenge
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.
Solution
By adopting Stripe Data Pipeline, Lime saved weeks of engineering time as 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.
> 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.
>
> Saket Rai, Senior Director, Head of Data, Lime
What’s included
Data Pipeline at a glance
Data storage destinations
•Snowflake
•Amazon Redshift
•Databricks
•BigQuery
•Amazon S3
•Google Cloud Storage
•Microsoft Azure Blob Storage
Out-of-the-box reports
Export reports that help you reconcile your account activity. •Fees associated with transactions
These reports are already available in Snowflake and will soon be added to Amazon Redshift.
•Stripe balance changes
These reports are already available in Snowflake and will soon be added to Amazon Redshift.
•Transactions included in payouts to bank account
These reports are already available in Snowflake and will soon be added to Amazon Redshift.
Data sets
•Prebuilt datasets modeled for easy analysis
Flexible exports
Control and customize your exports.
•Choose which metrics and reports to export
•Sync data on your preferred schedule
•Track data freshness and timestamps of your last export
Streamline enterprise-wide data integration
With Stripe Organizations, you can centrally manage all Stripe accounts in the Dashboard and send unified data from your organization to your data storage using Data Pipeline. Ready to get started?
Head to the Stripe Dashboard to start your 30-day free trial, or contact us for custom pricing.
Analyze your data in Stripe
Use Stripe Sigma to create custom Stripe reports using SQL or AI-powered natural language prompts. Included with Data Pipeline.
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