What Shopify data can I replicate to Amazon S3?

Kondado offers 17 pipelines with 505 fields including Orders, Customers, Products, Inventory Items, Abandoned Checkouts, and Order Transactions. You can select specific pipelines such as Orders Details for line-item level analysis or Orders Fulfillments for shipping logistics tracking, giving you granular control over what ecommerce data enters your S3 data lake.

How frequently can I update my Shopify data in Amazon S3?

You configure the replication schedule based on your analytics needs, with options ranging from every 5 minutes for near-real-time dashboards to hourly or daily batches for historical analysis. This flexibility lets you balance data freshness with storage costs and query performance in your S3 environment.

What format is my Shopify data stored in when sent to Amazon S3?

Your Shopify data arrives in Amazon S3 as structured files that work seamlessly with analytics tools like Amazon Athena, Presto, and Dremio. This format enables you to run complex SQL queries directly against your ecommerce data without additional transformation steps or data movement.

Can I combine Shopify data from Amazon S3 with other data sources?

Yes, you can consolidate Shopify data with information from other platforms in your S3 data lake to create unified analytics using Athena or Dremio. If you prefer other environments, you can also send your Shopify data to BigQuery , PostgreSQL , or Power BI to join it with additional sources for comprehensive business intelligence.

Do I need technical skills to send Shopify data to Amazon S3?

No coding is required to establish the connection, select your pipelines, and configure your update schedule through Kondado's interface. The platform handles the technical complexity of API connections and data formatting, allowing analysts and business users to manage the replication process independently.

Can I use Shopify data in Amazon S3 with visualization tools?

While Amazon S3 serves as excellent storage, you can query the data directly with Athena or send it to Looker Studio , Power BI , or Google Sheets for reporting. This flexibility lets you build custom dashboards that visualize your ecommerce metrics alongside other business data.

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Send Shopify Data to Amazon S3 Automatically

Kondado enables you to send Shopify data to Amazon S3 through a direct connection that requires no coding or technical maintenance. You connect your Shopify store as a data source, specify your S3 bucket as the destination, and choose from 17 available pipelines containing 505 fields of ecommerce data. The platform replicates your selected data automatically on a configurable schedule, allowing you to maintain near-real-time analytics or daily historical archives depending on your business needs. This automated pipeline eliminates manual exports and ensures your S3 data lake stays current with your latest transactions, customer behavior, and inventory movements.

Kondado automatically replicates Shopify data to Amazon S3 through 17 pipelines including Orders, Customers, Products, Inventory Items, and Abandoned Checkouts, with 505 total fields updated on user-configured schedules from 5 minutes to daily.

Once your Shopify data lands in Amazon S3, you can query it directly with Amazon Athena, Presto, or Dremio for advanced analytics, or combine it with other sources to build comprehensive business intelligence workflows that drive strategic decisions.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Shopify Pipelines for Amazon S3

With the Orders and Orders Details pipelines replicated to Amazon S3, you can perform deep dive analyses on sales patterns, discount effectiveness, and fulfillment efficiency using SQL queries in Athena or your preferred analytics engine. The Customers pipeline enables sophisticated segmentation analysis when combined with transaction history, allowing you to identify high-value customer cohorts and optimize retention strategies by understanding lifetime value trends. Additionally, having Abandoned Checkouts data in S3 lets you build custom attribution models that track cart recovery rates, analyze abandonment triggers across different traffic sources, and correlate incomplete purchases with inventory availability or shipping costs to recover lost revenue.

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Shopify data available for Amazon S3

available pipelines

505

extractable fields

Available integrations

Integration	Description
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.

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.

See all available data →

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How to send Shopify data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Your Shopify Store

Authenticate your Shopify store in Kondado by providing your store credentials, which establishes the data source for replication.

Configure Amazon S3 Destination

Enter your S3 bucket details and authentication keys to establish the destination where your Shopify pipelines will land.

Select Pipelines and Schedule

Choose from the 17 available pipelines such as Orders, Customers, and Products, then set your preferred update frequency from 5 minutes to daily intervals.

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