Sync Shopify data into Panoply

ETL the Modern Way. Get your data out of Shopify so you can analyze it.

Here’s a sample of the raw Shopify data that Panoply will replicate to your warehouse:

Orders

An order is a customer's completed request to purchase one or more products from a shop. An order is created when a customer completes the checkout process, during which time they provide an email address or phone number, billing address, and payment information.

Customers

The Customer resource stores information about a shop's customers, such as their contact details, their order history, and whether they've agreed to receive email marketing. The Customer resource also holds information on the status of a customer's account.

Products

The Product resource lets you update and create products in a merchant's store. You can use product variants with the Product resource to create or update different versions of the same product. You can also add or update product images.

Abandoned Checkouts

You can query the Checkout resource to return abandoned checkouts. A checkout is considered abandoned when a customer leaves the checkout after the first page without completing their purchase.

Custom Collection

A custom collection is a grouping of products that a merchant can create to make their store easier to browse. The merchant creates a custom collection and then selects the products that will go into it.

Metafields

The Metafield resource allows you to add additional information to other Admin API resources. Metafields can be used in several ways, such as to add a summary to a blog post or to share information with other Shopify apps.

Collects

The Collect resource connects a product to a custom collection. Collects are meant for managing the relationship between products and custom collections. For every product in a custom collection, there is a collect that tracks the ID of both product and custom collection.

View Shopify documentation

Modernizing Shopify ETL

What is ETL?

Integrating data for analytics can be especially hard in a fast-shifting, rapid growth startup environment, where relevant business data might be spread out across a collection of apps and spreadsheets. ETL (Extract, Transform, Load) tools will help you collect your data from APIs and file transfers (the Extract step), convert them into standardized analytics-ready tables (the Transform step) and put them all into a single data repository (the Load step) to centralize your analytics efforts.

The shift to ELT

The traditional ETL model is a relic of the pre-cloud era, when compute resources were expensive, and everything needed to be cleaned up before analysis. These days, moving the transformation step closer to the time of analysis is not only feasible, it’s desirable. ELT lets you load raw data, increasing your analytical flexibility and moving relevant data more quickly from your engineering team to your analytics and BI teams.

All in one Shopify data pipeline

Panoply’s 80+ data connectors and built-in automated cloud data warehouse will let you go from a collection of siloed datasets to sophisticated analyses that integrate your Shopify data in a matter of minutes. Panoply is the only tool that combines an ETL process with a data warehouse, giving you total control over your data from sync to storage. We’ll handle all the infrastructure so you can skip the engineering work and go straight to analysis with your favorite BI tool.

Get easy access to all your Shopify data in all your tools.

BI tools commonly used with Shopify data

Shopify