Are you a marketer who uses Stripe for payment services? Do you want to load data from Stripe to Redshift automatically? If yes, then this blog will answer all your queries. Stripe is an American company that provides financial services to many other companies. The accumulated data of Stripe can help you to perform various analyses on your customer data. Integrating Stripe with Amazon Redshift can help you to consolidate your data in real-time and analyze it to make data-driven decisions.

In this blog, you will learn about Stripe, Amazon Redshift, and two different approaches to loading data from Stripe to Redshift

What is Stripe?

Stripe to Redshift: Stripe Logo | Hevo Data
Image Source: Wikipedia

Stripe is an American payment platform. It provides financial services. The company mainly offers payment processing software and APIs for your E-Commerce websites and mobile applications. APIs can be used by developers to integrate payment processing with your website and applications. It also acts as a gateway and a third-party payment tool. Stripe offers scalability and security with its cloud-based infrastructure. 

What is Amazon Redshift?

Amazon Redshift is a cloud-based, fully managed data warehouse. It is a fast, scalable, and cost-effective column-oriented data warehouse. Its basic architecture includes two or more cluster nodes which are managed by a Leader Node. Nodes are referred to as a collection of computing resources, and these nodes are organized to form cluster nodes. Each cluster contains at least one master node and computes node. It connects to various sources, such as databases, BI tools, etc., and makes data available in real-time. You can use JDBC and ODBC to connect to third-party applications.   

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How to Connect Stripe to Redshift?

Method 1: Stripe to Redshift Using Hevo Data

Hevo is a No-code Data Pipeline. It supports pre-built data integrations from 150+ data sources, including Stripe. Hevo offers a fully managed solution for your data migration process to Amazon Redshift. It will automate your data flow in minutes without writing any line of code. Its fault-tolerant architecture makes sure that your data is secure and consistent. Hevo provides you with a truly efficient and fully-automated solution to manage data in real-time and always have analysis-ready data at Redshift.

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

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

  • Step 1: Authenticate and connect Stripe as your data source.
Stripe to Redshift - Strip as a Source
Image Source
  • Step 2: Connect Amazon Redshift as a destination to load your data. 
Stripe to Redshift - Redshift as Destination
Image Source

Using manual scripts and custom code to move data into the warehouse is cumbersome. Changing API endpoints and limits, ad-hoc data preparation, and inconsistent schema makes maintaining such a system nightmare. Hevo’s reliable no-code data pipeline platform enables you to set up zero-maintenance data pipelines that just work.

  • Wide Range of Connectors: Instantly connect and read data from 150+ sources, including SaaS apps and databases, and precisely control pipeline schedules down to the minute.
  • In-built Transformations: Format your data on the fly with Hevo’s preload transformations using either the drag-and-drop interface or our nifty python interface. Generate analysis-ready data in your warehouse using Hevo’s Postload Transformation.
  • Near Real-Time Replication: Get access to near real-time replication for all database sources with log-based replication. For SaaS applications, near real-time replication is subject to API limits.   
  • Auto-Schema Management: Correcting improper schema after the data is loaded into your warehouse is challenging. Hevo automatically maps source schema with the destination warehouse so that you don’t face the pain of schema errors.
  • Transparent Pricing: Say goodbye to complex and hidden pricing models. Hevo’s Transparent Pricing brings complete visibility to your ELT spending. Choose a plan based on your business needs. Stay in control with spend alerts and configurable credit limits for unforeseen spikes in the data flow.
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Method 2: Stripe to Redshift Using Manual Method

Stripe supports REST API to access, store, and retrieve the data in Stripe. To know more about their API, refer to this documentation. They support JSON for their responses. 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. Stripe REST APIs support requests only over HTTPS because of security reasons. 

Stripe API supports ten core resources – balance, customers, charges, file uploads, refunds, tokens, transfers, transfer reversals, events, and disputes. 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 Redshift, you need to follow these steps:

  1. Data Extraction from Stripe
  2. Prepare Stripe Data for Amazon Redshift
  3. Load Data into Amazon Redshift

1. Data Extraction from Stripe

For this section, let’s assume that you want to perform a churn analysis for your organization. You need to request a Stripe object that contains customer data to know when they have canceled their subscription. Use 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": 500,
      "amount_refunded": 0,
      "application_fee": null,
      "balance_transaction": "txn_17KGyT2eZvKYlo2CoIQ1KPB1",
      "captured": true,
      "created": 1452627963,
      "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": xxxx,
  "cancel_at_period_end": false,
  "canceled_at": xxxx,
  "current_period_end": 1455306419,
  "current_period_start": 1452628019,
  "customer": "cus_7hy0yQ55razJrh",
  "discount": xxxx,
  "ended_at": xxxx,
  "metadata": {
  "plan": {
    "id": "gold2132",
    "object": "plan",
    "amount": 2000,
    "created": 1386249594,
    "currency": "usd",
    "interval": "month",
    "interval_count": 1,
    "livemode": false,
    "metadata": {
    "name": "Gold ",
    "statement_descriptor": null,
    "trial_period_days": null
  "quantity": 1,
  "start": 1452628019,
  "status": "active",
  "tax_percent": null,
  "trial_end": null,
  "trial_start": null

To stream your Stripe data, you will use Webhooks for it. You can register some events with Webhooks, and every time any event happens, Stripe will push the data in Webhooks.

2. Prepare Stripe Data for Amazon Redshift

Amazon Redshift is built around industry-standard SQL and supports some added functionality to manage large datasets and perform high-performance analysis. To load data into Redshift, you need to follow its relational database model. You need to map your data into tables and columns with suitable data types. 

Data types supported by Amazon Redshift are as follows:

  5. REAL
  8. CHAR
  10. DATE

As data coming from Stripe is in the form of JSON, you need to carefully map your data with the appropriate data type before loading it into Redshift. Refer to this documentation to have an idea about the design of your database. 

After finalizing your database design, select any of the following data sources that are supported by Redshift as data sources.

  1. Amazon S3
  2. Amazon Kinesis Firehose
  3. Amazon DynamoDB

3. Load Data into Amazon Redshift

Before pulling the data in Amazon Redshift, you need to pull it from a source that is supported by Amazon Redshift. 

To load data into Amazon S3, you need to use AWS REST API. You need to create an Amazon S3 bucket by executing an HTTP PUT request on the AWS REST API endpoints for Amazon S3. You can use CURL or Postman for it. Refer to this documentation for the API reference of Bucket operations. 

After creating the Bucket, you can start loading the data into Amazon S3 using the same AWS REST API but by operating on the HTTP endpoints or using the library of your preference for object operations. 

Amazon Redshift supports two methods for loading data – INSERT command and COPY Command. 

You can use either a JDBC or ODBC connection to connect to your client and then perform an INSERT operation as follows: 

 insert into category_stage values
(12, 'Concerts', 'Comedy', 'All stand-up comedy performances');

You can perform bulk uploads of flat files on S3 using the COPY command. Like the INSERT command, you need to connect your Amazon Redshift instance using JDBC and ODBC. COPY command allows reading of multiple files and automatically distributing the workload to the cluster nodes and loading it in parallel. 

copy listing
from 's3://mybucket/data/listing/'
credentials 'aws_access_key_id=;aws_secret_access_key=';

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

What are the Limitations of Using the Manual Method?

Stripe provides financial services to organizations. It’s important to track each service wisely. Marketers load data from Stripe to Redshift to analyze their customer activities, such as ROI, sales, churn rates, etc. In such cases, prior knowledge of APIs, Webhooks, and Amazon S3 becomes a necessity. Marketers with no technical background can find it difficult to do so. You can remove this issue by using a fully automated ETL tool like Hevo. Hevo will ease the process of data loading from Stripe to Redshift.

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

Replicating data from Stripe to Redshift can help your data analysts get critical business insights. Here’s a short list of questions that this data integration helps answer:

  • 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?
  • How does your overall business cash flow look like?
  • Which sales channel provides the highest purchase orders?


In this blog, you have learned about Stripe, Amazon Redshift, and how to load data from Stripe to Redshift 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 Redshift automatically, then try Hevo. 

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Hevo Data is a No-code Data Pipeline. It supports pre-built integrations from 100+ data sources at a reasonable price. Hevo will fully automate your data flow from Stripe to Redshift 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 of loading data from Stripe to Redshift in the comment 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.

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