Do you analyze your Customer’s spending patterns made through Stripe? I am sure it is not a cakewalk.

Stripe is an API-based credit provider that helps businesses process their customers’ payments. The data that Stripe contains can help you measure the buying behavior of customers, purchasing patterns across geographies, and the efficiency of different marketing channels. But how can we connect the dots?

To make the most out of Stripe data, you need to have a 360-degree view of your data. This is where the concept of a Data Warehouse solution comes into the picture —- Snowflake, is undoubtedly one of the top solutions in the market.

Having said that, after moving your data from Stripe to Snowflake, you can now directly focus on deriving insights from it. You can deep dive into the data and explore new market opportunities.

This article will uncover two methods to connect Stripe to Snowflake. You can trade off between your requirements and the limitations associated with the manual method. 

How to Set up Stripe to Snowflake Integration?

Method 1: Stripe to Snowflake Using Hevo Data

Hevo is a No-code Data Pipeline. It supports pre-built data integrations from 150+ data sources, including Stripe. It can make the process of migrating data from Stripe to Snowflake in a completely automated manner.

You can set up your data pipeline in a matter of minutes —- without writing any line of code. Its fault-tolerant architecture makes sure that your data is secure and consistent. Long story short, it will provide you with a truly efficient and fully automated solution to manage data in real-time and always have analysis-ready data at Snowflake.

Now you can transfer data from Stripe to your target Destination using Hevo!

The steps to load data from Stripe to Snowflake using Hevo are as follows:

Step 1: Configure Stripe as your Data Source

Authenticate and select Stripe as your data source.

Stripe to Snowflake: Configuring Stripe as the Data Source | Hevo Data
Image Source

Step 2: Configure Snowflake as your Destination

Moving further, you need to select Snowflake as your destination to load data.

Stripe to Snowflake: Configuring Snowflake as the Destination | Hevo Data
Image Source

Step 3: All Done to Setup your ETL Pipeline!

Now, this is the whole process. It would take only a few minutes to do it. The learning curve is the easiest. Moving further, everything will be taken care of by Hevo.  It will automatically replicate new and updated data from Stripe to Snowflake every 30 minutes (by default). However, you can also adjust the pipeline frequency as per your requirements.

Default Pipeline FrequencyMinimum Pipeline FrequencyMaximum Pipeline FrequencyCustom Frequency Range (Hrs)
30 Mins15 Mins24 Hrs1-24
Reliably Integrate data with Hevo’s Fully Automated No Code Data Pipeline

If yours is anything like the 1000+ data-driven companies that use Hevo, more than 70% of the business apps you use are SaaS applications. Integrating the data from these sources in a timely way is crucial to fuel analytics and the decisions that are taken from it. But given how fast API endpoints etc can change, creating and managing these pipelines can be a soul-sucking exercise.

Hevo’s no-code data pipeline platform lets you connect over 150+ sources in a matter of minutes to deliver data in near real-time to your warehouse. What’s more, the in-built transformation capabilities and the intuitive UI means even non-engineers can set up pipelines and achieve analytics-ready data in minutes. 

All of this combined with transparent pricing and 24×7 support makes us the most loved data pipeline software in terms of user reviews.

Take our 14-day free trial to experience a better way to manage data pipelines.

Get started for Free with Hevo!

Method 2: Stripe to Snowflake Using Manual Method

You can use the REST API principles for accessing, storing, and retrieving your data from Stripe. To know more about their API, refer to this documentation. They support JSON for their response. They also offer two different types of keys for authentication – testing mode and live mode. With testing mode, you can test every aspect of your API without messing with your actual data. Calls to Stripe API are only over HTTPS because of security reasons.

Stripe API supports ten core resources – charges, balance, refunds, customers, tokens, events, transfers, dispute, etc. All these resources support CRUD operations using HTTP verbs on their associated endpoints. In this section, you will use CURL, but you can also work with Postman, Hyper, etc. 

To load data from Stripe to Snowflake, you need to follow these steps:

1. Data Extraction from Stripe

Suppose you want to perform a churn analysis for your organization. For this purpose, you need to request a Stripe object containing customer data t To find out when a client has canceled their subscription.  

You can carry out the following operation:

   -u sk_test_BQokikJOvBiI2HlWgH4olfQ2:

Your response will look as follows:

  "object": "list",
  "url": "/v1/charges",
  "has_more": false,
  "data": [
      "id": "ch_17SY5f2eZvKYlo2CiPfbfz4a",
      "object": "charge",
      "amount": 1000,
      "amount_refunded": 20,
      "application_fee": null,
      "balance_transaction": "txn_17KGyT2eZvKYlo2CoIQ1KPB1",
      "captured": true,
      "created": 1452627967,
      "currency": "usd",
      "customer": null,
      "description": " Account Credit",
      "destination": null,
      "dispute": null,
      "failure_code": null,
      "failure_message": null,
      "fraud_details": {
      }, …….

Your customer object will look as follows:

  "id": "sub_7hy2fgATDfYnJS",
  "object": "subscription",
  "application_fee_percent": null,
  "cancel_at_period_end": false,
  "canceled_at": null,
  "current_period_end": 1455306420,
  "current_period_start": 1452628020,
  "customer": "cus_7hy0yQ55razJrh",
  "discount": null,
  "ended_at": null,
  "metadata": {
  "plan": {
    "id": "gold2132",
    "object": "plan",
    "amount": 2000,
    "created": 1386249594,
    "currency": "usd",
    "interval": "month",
    "interval_count": 1,
    "livemode": false,
    "metadata": {
    "name": "John ",
    "statement_descriptor": null,
    "trial_period_days": null
  "quantity": 1,
  "start": 1452628020,
  "status": "active",
  "tax_percent": null,
  "trial_end": null,
  "trial_start": null

These objects include the necessary information required for performing churn analysis.

You will use Webhooks to stream your data from Stripe to Snowflake. You can register some events with Webhooks, and Stripe will push the data into Webhooks whenever an event occurs.

2. Prepare Stripe Data for Snowflake

Before ingesting data into Snowflake, you must first create a well-defined schema. Snowflake organizes all of its data into tables with columns. Each column has its own data type.

Snowflake supports a wide range of data types. Along with that, it also supports a variety of semi-structured data formats, including JSON, Avro, XML, ORC, etc.

To load data from Stripe to Snowflake, you must first create a schema in Snowflake. The tables in the schema can be mapped with API endpoints. Each key in the Stripe API endpoint response must be mapped to a column in the table. These keys must be converted to the appropriate data type aligned with the columns in Snowflake.

3. Load Data into Snowflake

You can use the ‘COPY INTO’ command for loading your data at a time (in bulk) in Snowflake. 

Files containing data in JSON format are either stored in a local file system of Amazon S3 buckets. For loading these files to the Snowflake data warehouse, you can invoke the COPY INTO command.

You can even first transfer the data to a staging environment using the PUT command. Following that you can carry out the usual process of invoking the COPY INTO command.

Another method for importing data into Snowflake is to upload your data straight into Snowflake using the services provided by Amazon S3. You can use the following command to copy data from Amazon S3 to Snowflake.

copy into table_name   
from s3://snowflakebucket/data/abc_files 
credentials=(aws_key_id='$KEY_ID' aws_secret_key='$SECRET_KEY')   pattern='filename.JSON';

This command requires the source file name, destination table name, and a set of parameters to accomplish the copy operation. It uses matching to identify the file in the source repository.

Voila! You have successfully loaded data from Stripe to Snowflake.

Check out the Snowflake tutorial to handle updates, especially using primary keys. 

Limitations of Using Manual Method

Stripe offers financial services to businesses. Marketers import data from Stripe to Snowflake to monitor customer activities like ROI (Return Forth Investment), sales, churn rates, etc. Snowflake serves as a Single Source of Truth for all the customer data. And it is crucial to keep careful track of each service. 

Prior understanding of APIs, Webhooks, and Amazon S3 is required in setting up the integration from Stripe to Snowflake. Marketers with no technical experience will face problems while moving forward with the integration.

Since data in Stripe grows at an exponential rate, you must continually insert and update Snowflake data. You need to perform regular updates using the UPDATE command.

Another problem with manual techniques is identifying and removing duplicate entries in Snowflake. This is where you can take the help of an automated, fully-managed ETL solution like Hevo.

Hevo will ease the process of data loading from Stripe to Snowflake. 

Solve your data replication problems with Hevo’s reliable, no-code, automated pipelines with 150+ connectors.
Get your free trial right away!

What can you achieve by replicating data from Stripe to Snowflake?

By migrating your data from Stripe to Snowflake, you will be able to help your business stakeholders find the answers to these questions:

  • How does CMRR (Churn Monthly Recurring Revenue) vary by Marketing campaign?
  • How much of the Annual Revenue was from In-app purchases?
  • Which campaigns have the most support costs involved?
  • For which geographies are marketing expenses the most?
  • Which campaign is more profitable?
  • What does your overall business cash flow look like?
  • Which sales channel provides the highest purchase orders?

Frequently Asked Questions (FAQs)

1) Does Stripe use Snowflake?

Stripe supports an in-built Data Pipeline feature for their customers based out of the US. These customers with an existing account in Amazon Redshift or Snowflake Data Cloud can directly sync their Stripe to Snowflake or Redshift. They don’t need to build an API integration or use a third-party data integration tool anymore.

2) Is Stripe worth it for Small Businesses?

Stripe follows a Pay-as-you-go pricing model with flat-rate transparent pricing. It is fit for online businesses unless it requires you to make in-person payments. Additionally, it can also accept extremely small as well as large payments. However, Stripe is better suited for larger companies as it provides payment customization features. For small businesses that are just getting started, PayPal can be an appropriate choice. 

3) What are the disadvantages of Stripe?

Stripe is favorable for online businesses and has limited functionality for in-person retail businesses. Additionally, if you want to add some features or make customizations to the existing ones, then it would demand you to have some technical knowledge or developer resources. And, Stripe is mostly limited to businesses only across 39 countries.

Key Takeaways to Load Data from Stripe to Snowflake

In this blog, you have learned about Stripe, and Snowflake, and how to load data from Stripe to Snowflake using two different methods. You also came across the limitations of the manual method. So, if you are a marketer who wants to load their data from Stripe to Snowflake automatically, then try Hevo. 

This blog has touched down the method of manually connecting Stripe to Snowflake using API Integration. However, it would eat up quite a bit of your time to set up the integrations. 

What if you don’t have prior knowledge of APIs and Webhooks? We can relieve you of this headache. This is where a no-code, fully automated data pipeline like Hevo comes to your rescue.

Hevo will save you a mountain of time in setting up your integration from Stripe to Snowflake in a simple 3-step process. And it will uncover enormous opportunities for you to direct your focus on generating insights on your spending patterns, customer activities, Return on Investment (ROI), churn analysis, etc.

Visit our Website to Explore Hevo

Hevo Data is a No-code Data Pipeline. It supports pre-built integrations from 150+ data sources at a reasonable price. Hevo will fully automate your data flow from Stripe to Snowflake within minutes.

Want to take Hevo for a spin? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite firsthand. You can also have a look at our unbeatable pricing that will help you choose the right plan for your business needs!

Share your experience with Stripe to Snowflake Integration in the comments section below!

Oshi Varma
Freelance Technical Content Writer, Hevo Data

Driven by a problem-solving ethos and guided by analytical thinking, Oshi is a freelance writer who delves into the intricacies of data integration and analysis. He offers meticulously researched content essential for solving problems of businesses in the data industry.

No-Code Data Pipeline for Stripe