Payments category Certified by Stitch

Learn more about syncing Stripe data

Documentation

Detailed documentation on how to start syncing Stripe data.

Stripe Documentation

Manual Instructions

How to extract data from Stripe and load it to Snowflake manually.

Stripe to Snowflake Manually

Jumpstart your Stripe analytics with reusable blocks

dbt packages can speed up your work

Once you replicate your Stripe data with Stitch, you can use it in many ways. For example, you can use the data modeling and transformation tool dbt to prepare data for reporting, analytics, or machine learning applications.

Dbt has prebuilt packages for many Stitch data sources, including Stripe. Here’s a look at code for modeling Stripe data. This particular block of code models monthly recurring revenue from your Stripe data.

View the source on GitHub →
                          
                            {{
    config(
        materialized = 'table',
        sort = 'date_month',
        dist = 'customer_id'
    )
}}
with mrr as (
    select * from {{ref('stripe_mrr_unioned')}}
),
mrr_with_changes as (
    select
        *,
        coalesce(
            lag(mrr) over (partition by customer_id order by date_month),
            0) as prior_mrr,
        mrr - coalesce(
            lag(mrr) over (partition by customer_id order by date_month),
            0
            ) as mrr_change
    from mrr
),
final as (
    select
        *,
        case
            when first_month = 1 and mrr > 0 then 'new'
            when active_customer = 0
                and lag(active_customer)
                over (partition by customer_id order by date_month) = 1
                then 'churn'
            when lag(active_customer)
                over (partition by customer_id order by date_month) = 0
                and active_customer = 1
                then 'reactivation'
            when mrr_change > 0 then 'upgrade'
            when mrr_change < 0 then 'downgrade'
        end as change_category,
        least(mrr, prior_mrr) as renewal_amount
    from mrr_with_changes
)
select * from final
                          
                        

Simplify your Snowflake migration

When it comes to replicating your data to Snowflake, conventional ETL is no longer the only game in town.

Writing ETL code requires big investments of time, money, and expertise that might otherwise be used for innovation. Most importantly, newer approaches to data ingestion deliver faster implementation than traditional ETL, so you can produce data analytics and business intelligence more quickly.

This is where Stitch can help.

All your data, where you need it

Give your analysts, data scientists, and other team members the freedom to use the analytics tools of their choice.

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Asset analysis tools
Stitch allowed us to set up a data pipeline within a day. It helped us avoid the hassle of building a data infrastructure team. The quick turnaround time allowed us to gather insights almost near real time.

Ashok Varma

Founder and CEO, ReportGarden

Why our customers choose Stitch

Stitch is a simple, powerful ETL service built for developers. Stitch connects to your first-party data sources – from databases like MongoDB and MySQL, to SaaS tools like Salesforce and Zendesk – and replicates that data to your warehouse. With Stitch, developers can provision data for their internal users in minutes, not weeks.

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