Stripe is a simple platform that allows you to make/accept online payments. With Stripe, you can manage your payment logistics via a user-friendly dashboard that provides insights into users’ payment records, refunds, card details, subscriptions, etc. The platform is highly integrable with several applications and databases due to its convenient API and quick implementation in multiple programming languages.

Stripe data can reflect your users’ payment patterns, possible payment frauds, or refunds. To draw more meaningful insights from the data, you can connect to a stable database like PostregSQL, where you can store and analyze data. PostgreSQL is a database management system that allows you to store vast volumes of data. Both SQL (relational) and JSON (non-relational) querying are supported.

This article discusses the different methods of integration of Stripe to PostgreSQL.


Understanding of payment gateway 

What is Stripe?

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Stripe is a fully integrated suite of payment products. In simple terms, Stripe’s software and APIs provide payment infrastructure for millions of businesses on the internet. It powers payments for subscription businesses, software platforms, and marketplaces. Stripe services also aid in avoiding payment frauds, sending invoices, issuing virtual and physical cards, getting finance, and managing business spending. 

With Stripe’s technology-first approach to finance and payments, users can directly integrate the platform with several banks and card networks. Stripe’s systems operate with 99.99% uptime and are conveniently scalable as its machine learning models are trained on billions of customer records to track payment patterns and detect possible fraud or cart abandonment scenarios. Additionally, Stripe is optimizable at every level of the financial stack, making it the backbone of the internet business.

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Key Features of Stripe

Stripe offers a wide range of user-friendly and convenient features. Some of them are:

  • Multiple Customer Interfaces: With Stripe, you can create a custom interface for the checkout experience across browsers and devices. You can also get payment links to sell a product/service, start a subscription, or accept a donation. 
  • Payment Options: Stripe offers many payment options through a unified integration. It accepts all major debit and credit cards like VISA, Mastercard, Maestro, etc. You can discover and select the suitable payment method for your business and reach a broader customer base. 
  • Support for Cross-Border Payments: Stripe leverages the same API infrastructure for customer accounts across different countries. Stripe also has subsidiary support, which allows customers to accept payments without any FX/cross-border fees for customers in 30+ countries/regions. 

What is PostgreSQL?

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PostgreSQL is an advanced, open-source, object-relational database management system that supports SQL (relational) and JSON (non-relational) queries. It was founded in 1986 under the POSTGRES project, a project aiming to employ database support for a vast wide variety of data types, at the University of California, Berkeley. It was renamed in 1996 to PostgreSQL to illustrate its SQL support for querying. 

PostgreSQL is the primary data store for many internet-scale solutions, including geospatial and analytical applications. PostgreSQL is compatible with all operating systems. It also allows you to define data types, build custom functions, and write code lines in multiple programming languages like Python, Java, Perl, Net, Go, Ruby, C/C++, Tcl, and ODBC. 

Key Features of PostgreSQL

Using PostgreSQL has several advantages due to its extensible features with defined APIs. Some of these features are:

  • Many Extensions: PostgreSQL possesses many features like the MVCC (multi-version concurrency control), tablespaces, asynchronous replication, nested transactions, etc. It also provides extensions for international character sets, multi-byte character encodings, and formatting. 
  • Standard Compliance: PostgreSQL’s write-ahead logging feature makes it an extremely fault-tolerant database. It complies with all ACID guidelines and fully supports foreign keys, views, triggers, and procedures. 
  • Open-Source License: PostgreSQL source code is available under an open-source license, allowing you to modify, use, and implement it as per your requirements. There is no licensing cost. Additionally, PostgreSQL’s dedicated community of developers regularly finds and fixes bugs, adding to the system’s overall security.

Why Integrate Stripe to PostgreSQL?

For ELT data warehousing and backup scenarios, Stripe data replication to PostgreSQL is primarily necessary. Over time, vast volumes of data will be available on your Stripe account. This data allows you to analyze your customers’ payment practices and usage patterns.

Integrating Stripe to PostgreSQL will allow you to analyze this data while storing it in a reliable database. Connecting Stripe to PostgreSQL will empower your business teams to get actionable insights into the payments data.

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How to Integrate Stripe to PostgreSQL?

Method 1: Using Hevo to Set Up Stripe to PostgreSQL

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Hevo provides an Automated No-code Data Pipeline that helps you move your Stripe swiftly to PostgreSQL. Hevo is fully-managed and completely automates the process of not only loading data from your 150+ data sources(including 40+ free sources)but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code. Its fault-tolerant architecture ensures that the data is handled securely and consistently with zero data loss.

Using Hevo, you can connect Stripe to PostgreSQL in the following 2 steps:

  • Step 1: Configure Stripe as the Source in your Pipeline by following these steps:
    • Step 1.1: In the Asset Palette, select PIPELINES.
    • Step 1.2: In the Pipelines List View, click + CREATE.
    • Step 1.3: Select Stripe on the Select Source Type page.
    • Step 1.4: Enter the following information on the Configure your Stripe Source page:
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  • Pipeline Name: A distinct name for the Pipeline that isn’t longer than 255 characters.
  • API Key: The Stripe API key you made to allow Hevo to read your Stripe data
  • Step 1.5: Simply press TEST & CONTINUE.
  • Step 1.6: Configure the data ingestion and establish the destination after that.
  • Step 2: After configuring the source, let’s configure PostgreSQL as the destination by following the below steps.
    • Step 2.1: After configuring the Source during Pipeline creation, click ADD DESTINATION or Click DESTINATIONS in the Asset Palette, and then, click +CREATE in the Destinations List View.
    • Step 2.2: Select PostgreSQL on the Add Destination page.
    • Step 2.3: Configure PostgreSQL connection settings as mentioned below:
      • Destination Name: Give a unique name for your Destination.
      • Database Host: Use the PostgreSQL host’s IP address or DNS as the database host.
      • Database Port: The port number on which your PostgreSQL server listens for connections. Default value: 5432.
      • Database User: In the PostgreSQL database, a user with a non-administrative role.
      • Database Password: The password of the PostgreSQL database user.
      • Database Name: The name of the Destination PostgreSQL database to which the data is loaded.
      • Database Schema: The name of the Destination PostgreSQL database schema. Default value: public.
      • Additional Settings: Choose advance setting as per the need.
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  • Step 2.4: After configuring the PostgreSQL settings, click on TEST CONNECTION to test connectivity to the Destination Postgres server.
  • Step 2.5: Once the test connection is successful, save the connection by clicking on SAVE & CONTINUE.
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  • 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.
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  • 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 destination warehouse so you don’t face the pain of schema errors.
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Method 2: Using Custom Code to Move Data from Stripe to PostgreSQL

Extracting Stripe Data

Stripe lets you migrate your customer card information, monthly summary, refund data, and payouts. However, Stripe does not allow you to export the account’s payment history or subscriptions. 

Follow these steps to export Payments Data:

  • Login to Stripe.
  • Navigate to “Payments”.
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  • Click on Export.
  • The Export window will pop up. Select the necessary range and Export data.
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Follow these steps to export the Detailed Financial Report:

  • Sign in to Stripe.
  • Go to Reports > Balance from the navigation menu bar and then choose Transactions.
  • Apply necessary filters by selecting the Filter button.
  • Select the Download button.
  • Select the range and columns you want to export.
  • Click on Download.

Follow these steps to export Payouts:

  • Sign in to Stripe.
  • Select Balance from the navigation menu bar and then choose Payouts.
  • Apply necessary filters by selecting the Filter button.
  • Select the Export button.
  • Select the range and columns you want to export.
  • Click on Export.

Follow these steps to export Refund Data:

  • Sign in to Stripe.
  • Select Payments from the navigation menu bar.
  • Apply necessary filters by selecting the Filter button.
  • Select the Export button.
  • Select the range and columns you want to export.
  • Click on Export.

Importing Data to PostgreSQL

You can manually import data into PostgreSQL via two methods: using the COPY command and using the PgAdmin. Please note that the files should be in a CSV format before importing them into a PostgreSQL table.

Importing Data via the COPY command
  • First, create a new table.
  • To import the CSV file into this table, use the COPY statement as follows:
COPY tablename(column 1, column 2, …, column n)
FROM ‘location of the file’
  • Essential aspects of the COPY command:
    • Delimiter: It decides how the values in the rows are divided. The comma is used as the delimiter here, as was previously stated (,).
    • CSV: It specifies that data is imported from a CSV file.
    • Header: PostgreSQL receives the information that the CSV file has headers (i.e., columns names)
Importing Data via the pgAdmin Tool

Use this command to import a CSV file from your computer into a table that already exists on the PostgreSQL database server.

Follow these steps to import via pgAdmin:

  • Use the following command to truncate the existing table:
  • Now, choose Import/Export.
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  • Browse to the import file.
  • Select CSV import format.
  • Select the delimiter as a comma (,).
  • The id column can be unchecked by selecting the Columns tab. Click OK.
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  • Wait till the import process finishes. You will see a dialog box showing the progress of the import.
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Limitations of Manually Connecting Stripe to PostgreSQL

The two methods mentioned above allow you to manually migrate data from Stripe to PostgreSQL database tables. Although the methods may appear handy, there are several challenges with the manual integration of Stripe to PostgreSQL. Some prominent problems in embracing manual methods include data quality and integrity issues. Manually connecting Stripe data to PostgreSQL is not a real-time process as well. A manual process might not be the right choice if you have to handle millions of transactions.


In this article, you learned about the integrations of Stripe, online payment infrastructure, and PostgreSQL, an open-source database management system. The blog discusses the manual methods to extract data from Stripe and import it into PostgreSQL tables in two ways. Data such as payment, refund, monthly summary, etc., can be downloaded individually from Stripe. This data can give information about distressed customers, refunds, subscriptions, and much more to make better data-driven decisions. But, if you require analysis-ready data in real-time, these manual methods may not be efficient enough. You should opt for a cloud ETL tool like Hevo Data.

Visit our Website to Explore Hevo

Hevo offers a No-code Data Pipeline that can automate your data transfer process, hence allowing you to focus on other aspects of your business like Analytics, Marketing, Customer Management, etc.

This platform allows you to transfer data from 150+ sources (including 40+ Free Sources) such as Stripe to a destination of your choice such as PostgreSQL. It will provide you with a hassle-free experience and make your work life much easier.

Want to take Hevo for a spin? 

Sign Up for a 14-day free trial and experience the feature-rich Hevo suite first hand. You can also have a look at the unbeatable pricing that will help you choose the right plan for your business needs.

Freelance Technical Content Writer, Hevo Data

Disha is deeply passionate about data science, and possesses a knack for writing on data, software architecture, and technical content catered to data teams to solve intricate business challenges.

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