Sync your Stripe account with your data warehouse or cloud storage

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.

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

Centralise 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 centralised 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 ready

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 freshness 

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 home-grown 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
1st JAN
2 JAN
Activate Data Pipeline
Live

For business teams

Get answers faster with centralised 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 modelling
  • Optimise sales and marketing campaigns
  • Enhance performance of AI/ML models