Shopify to Google BigQuery in minutes
Shopify is an ecommerce platform. The Stitch Shopify integration will ETL your Shopify data to Google BigQuery in minutes and keep it up to date without the headache of writing and maintaining ETL scripts.
Business categoryCertified by Stitch
Here’s a sample of the raw Shopify data that Stitch will replicate to your analytics warehouse:
This table contains information about abandoned checkouts. Abandoned checkouts are defined as checkouts where the customer has entered their billing and shipping information, but not completed the ordering process.
This table contains information about customer accounts.
This table contains information about completed customer orders.
This table contains information about products.
This table contains information about refunds.
This table contains information about transactions. In Shopify, a transaction is created for every order that results in an exchange of money - an authorization, a sale, a capture, a void, and a refund.
this table contains information about metafields
Once you replicate your Shopify data with Stitch, you can use it in many ways. For example, you can use the data modeling and transformation tool dbt to prepare data for reporting, analytics, or machine learning applications.
Dbt has prebuilt packages for many Stitch data sources, including Shopify. Here’s a look at code for modeling Shopify data. This particular block of code prepares your Shopify order data for analysis.View the source on GitHub →
Looker developed a block for Shopify data provisioned by Stitch. This block includes prebuilt code to create dashboards and models that can help uncover insights from your Shopify data.
The Shopify Looker Block helps you track orders and revenue across channels and regions, identify top-performing products and categories, and monitor customer purchasing trends. The LookML code shown here produces an overview dashboard that provides high-level metrics and sales trends over time.View the source on GitHub →
When it comes to replicating your data to Google BigQuery, conventional ETL is no longer the only game in town.
Writing ETL code requires big investments of time, money, and expertise that might otherwise be used for innovation. Most importantly, newer approaches to data ingestion deliver faster implementation than traditional ETL, so you can produce data analytics and business intelligence more quickly.
This is where Stitch can help.
Give your analysts, data scientists, and other team members the freedom to use the analytics tools of their choice.
Stitch's interface is sleek and efficient. We only know it's running when it sends us alerts; otherwise, it does its job without bother.
Stitch is a simple, powerful ETL service built for developers. Stitch connects to your first-party data sources – from databases like MongoDB and MySQL, to SaaS tools like Salesforce and Zendesk – and replicates that data to your warehouse. With Stitch, developers can provision data for their internal users in minutes, not weeks.Explore all of Stitch's features
Stitch integrates with leading databases and SaaS products. No API maintenance, ever, while you maintain full control over replication behavior.
Amazon Aurora MySQL
Amazon Aurora PostgreSQL
Amazon RDS for MariaDB
Amazon RDS for MySQL
Amazon RDS for Oracle Database
Amazon RDS for PostgreSQL
Amazon RDS for SQL Server
Amazon S3 CSV
Google Analytics 360
Google Cloud SQL MySQL
Google Cloud SQL MySQL
Google Cloud SQL PostgreSQL
Google Search Console
Microsoft Advertising (Bing Ads)
Microsoft Azure SQL Server Database
Microsoft SQL Server
Netsuite Suite Analytics
Oracle Netsuite Bronto Marketing Platform
Salesforce Marketing Cloud