From Shopify to PostgreSQL: managed, scheduled, no code.
Creating a pipeline that sends data from Shopify to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from Shopify to PostgreSQL is managed and executed by our platform. With Kondado, you can focus on extracting value from Shopify data and combining it with other data in your PostgreSQL database
Connecting Shopify to PostgreSQL allows you to centralize your ecommerce data in a powerful open-source database for advanced analysis and reporting. This Shopify to PostgreSQL pipeline enables you to send Shopify data to PostgreSQL automatically on a configurable schedule, whether you need updates every 5 minutes, hourly, or daily. The pipeline eliminates manual data exports and ensures your database always contains current orders, customers, and inventory information for comprehensive business intelligence.
Kondado directly connects Shopify to PostgreSQL, replicating 17 data pipelines including Orders, Customers, Products, and Inventory on a user-configured schedule ranging from 5 minutes to daily intervals, with no code required.
Once your Shopify data lands in PostgreSQL, you can build custom reports analyzing the complete customer journey from acquisition to purchase. Query the Orders and Orders Details pipelines to calculate lifetime value, analyze discount effectiveness, and identify your most profitable products. Combine the Customers pipeline with Orders Visits UTM Parameters to attribute revenue to specific marketing campaigns and optimize your ad spend. The Inventory Items pipeline helps you maintain optimal stock levels by tracking SKU availability and product locations directly within your database environment, enabling automated reorder alerts.
Try out all the features for free for 14 days
Replicated to PostgreSQL
Shopify data available for PostgreSQL
Tables Kondado writes into your PostgreSQL, on a schedule you control.
17
available pipelines
505
extractable fields
PostgreSQL
Destination
Available integrations
Abandoned Checkouts
View data on abandoned checkouts, including total value, items in the cart, and abandonment date.
Customers
Track customer information, including name, email, status, and account creation date.
Events
Log important events, including event type, date, and details associated with each event.
Inventory: items
Monitor item inventory, including SKU, available quantity, and product location.
Order timeline events
Analyze order timeline events, including status, date, and actions taken during processing.
Orders
Examine order details, including order number, total value, status, and creation date.
Orders Details
Get detailed information about orders, including items, prices, quantities, and applied discounts.
Orders Discount Applications
View how discounts were applied to orders, including discount type and value.
Orders Discount Codes
Access information on discount codes used in orders, including code and discount value.
Orders Fulfillments
Monitor the status of order fulfillments, including fulfillment date and shipping method.
Orders Line Items
Includes information on products, quantities, and prices, along with fields such as SKU, product title, and applied discount.
Orders Note Attributes
Contains custom attributes associated with orders, such as customer notes, tags, and additional fields that assist in identification.
Orders Refunds
Records information about refunds, including amounts, reasons, and status, along with fields such as refund date and method used.
Orders Shipping Lines
Provides details on shipping options, including carrier, shipping cost, and estimated delivery time.
Orders Transactions
Includes data on financial transactions, such as amounts, payment methods, and payment status, along with timestamps.
Orders Visits UTM Parameters
Captures information on order visits, including UTM parameters such as source, medium, and campaign for marketing analysis.
Products
Contains details about products, including title, description, price, SKU, and images, along with information on variants.
Sync data automatically — no code, no manual exports.
1
Connect your Shopify store
Access the data sources menu and select Shopify to begin authentication. Enter your store credentials to establish the connection and grant Kondado permission to read your ecommerce data.
2
Configure your PostgreSQL destination
Navigate to destinations and add your PostgreSQL database by providing the host, port, database name, and credentials. Test the connection to ensure Kondado can write data to your target schema.
3
Select pipelines and schedule updates
Choose from the 17 available Shopify pipelines such as Orders, Customers, and Inventory Items. Set your preferred update frequency from 5 minutes to daily intervals to keep your PostgreSQL database synchronized with your store activity.
Try out all the features for free for 14 days
Hundreds of data-driven companies trust Kondado
Why Kondado?
Focus on extracting value from your data and leave the rest to us
Answers about sending Shopify data to PostgreSQL automatically
How does the Shopify to PostgreSQL connection work?▼
Kondado connects directly to your Shopify store to extract data and load it into your PostgreSQL database. You authenticate your Shopify account, provide your PostgreSQL connection details, and select which pipelines to replicate. The platform handles the data transfer automatically on your chosen schedule without requiring manual exports or technical maintenance.
What specific Shopify data can I replicate to PostgreSQL?▼
Kondado offers 17 pipelines covering Orders, Customers, Products, Inventory Items, Events, Abandoned Checkouts, and detailed order components like Line Items, Refunds, and Transactions. Each pipeline contains specific fields such as order values, customer emails, SKU quantities, and UTM parameters, giving you comprehensive access to your ecommerce operations.
How often can I update my Shopify data in PostgreSQL?▼
You can configure updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your business needs. This automated schedule ensures your PostgreSQL database reflects recent sales, inventory changes, and customer activity without manual intervention, keeping your reports current.
What format does Shopify data take in PostgreSQL?▼
Each pipeline becomes a separate table in your PostgreSQL database with normalized schema structures. Order data includes timestamps, monetary values, and status fields, while customer records contain contact information and account details. You can query these tables using standard SQL to build custom analytics or connect business intelligence tools like Power BI or Looker Studio.
Can I combine Shopify data with other sources in PostgreSQL?▼
Yes, PostgreSQL serves as a central warehouse where you can join Shopify ecommerce data with information from other platforms. Replicate data from additional sources into the same database to create unified reports that correlate sales performance with marketing campaigns, shipping logistics, or financial systems for complete business visibility.
Do I need coding skills to set up the Shopify PostgreSQL pipeline?▼
No coding is required to establish the connection. Kondado provides a no-code interface where you select your data source, enter your PostgreSQL credentials, and choose your update schedule. The platform manages the schema creation and data loading automatically, making it accessible for analysts and business users without technical backgrounds.
Which PostgreSQL versions are supported for Shopify data?▼
Kondado supports standard PostgreSQL databases including self-hosted instances and managed services. You can connect to PostgreSQL databases running on cloud providers or private servers, ensuring compatibility with your existing infrastructure whether you use AWS RDS, Google Cloud SQL, or on-premises installations.
'%3E%3Cpath d='M51,41a9.978,9.978,0,0,0-7.857,3.835L22.648,34.588a9.69,9.69,0,0,0,0-5.176l20.5-10.247a10.1,10.1,0,1,0-1.791-3.577L20.857,25.835a10,10,0,1,0,0,12.33L41.352,48.412A9.994,9.994,0,1,0,51,41Z' fill='%23383e51'%3E%3C/path%3E%3C/g%3E%3C/svg%3E)
'%3E%3Cpath d='M33,47.645V60.71c.024-.014.05-.018.073-.033l11-7A2,2,0,0,0,45,51.992V40.012Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M31,47.645,19,40.011V51.992a2,2,0,0,0,.927,1.688l11,7c.023.015.049.019.073.033Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M32,21.693l12-7.634L33.076,7.086a2,2,0,0,0-2.152,0L20,14.059Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M12,35.556,0,27.922V39.9A2,2,0,0,0,.927,41.59l11,7c.023.014.049.019.073.033Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M52,35.556l12-7.634V39.9a2,2,0,0,1-.927,1.687l-11,7c-.023.014-.049.019-.073.033Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M47,38.914a2,2,0,0,0-.924-1.686L38,32.074V27.922l12,7.634V48.621c-.024-.014-.05-.019-.073-.033L47,46.726Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M13,33.821l12-7.634L14.076,19.214a2,2,0,0,0-2.152,0L1,26.187Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M17,38.914a2,2,0,0,1,.924-1.686L26,32.074V27.922L14,35.556V48.621c.024-.014.05-.019.073-.033L17,46.726Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M32,45.91l12-7.634L33.076,31.3a2,2,0,0,0-2.152,0L20,38.276Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M14.076,19.214a2,2,0,0,0-2.152,0L1,26.187l12,7.634,12-7.634Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M49.924,19.214a2,2,0,0,1,2.152,0L63,26.187,51,33.821,39,26.187Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M26,27.922,14,35.556V48.621c.024-.014.05-.019.073-.033L17,46.726V38.914a2,2,0,0,1,.924-1.686L26,32.074Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M27.076,25.138A2,2,0,0,1,28,26.824V30.8l1.848-1.179A4,4,0,0,1,31,29.123V23.428L19,15.794v4.19Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M36.924,25.138A2,2,0,0,0,36,26.824V30.8l-1.848-1.179A4,4,0,0,0,33,29.123V23.428l12-7.634v4.19Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M33.076,31.3a2,2,0,0,0-2.152,0L20,38.276,32,45.91l12-7.634Z' fill='%23383e51'%3E%3C/path%3E%3C/g%3E%3C/svg%3E)
'%3E%3Cpath d='M50.348,42.573c0-9.411-8.691-12.336-16.348-14.416v-16.1a32.837,32.837,0,0,1,9.363,1.656l2.778,1.11,2.228-5.57L45.584,8.134A38.043,38.043,0,0,0,34,6.046V1H30V6.081c-8.213.594-16.348,4.86-16.348,13.471,0,9.036,8.841,11.732,16.348,13.744V50.074a33.591,33.591,0,0,1-12.006-2.511l-2.683-1.341-2.684,5.367,2.684,1.342c.243.121,5.7,2.792,14.689,3.152V63h4V56.065C44,55.462,50.348,50.3,50.348,42.573Zm-30.7-23.021c0-5.133,5.96-7.016,10.348-7.446V27.071C23.512,25.243,19.652,23.535,19.652,19.552ZM34,50.043V34.393c6.5,1.882,10.348,3.761,10.348,8.18C44.348,48.377,37.873,49.744,34,50.043Z' fill='%23383e51'%3E%3C/path%3E%3C/g%3E%3C/svg%3E)
