Connector
Collect Shopify Data into AWS Redshift
Own your Shopify data in AWS Redshift with OWOX Data Marts. Collect orders, customers, products, and transactions directly into Redshift, control schema and refresh logic, and reuse the data across BI tools and AI Insights.

The analytics system teams actually use
Marketplace users
175K+
teams running OWOX from the Google Workspace Marketplace
G2 rating
4.9
296 verified reviews on G2
Connector downloads
156K+
open-source connector installs via npm
GitHub stars
231
the platform is open source — star it, fork it, self-host it
S01 · Step 1
Step 1: Create an AWS Redshift Data Storage
Start by connecting your AWS Redshift environment as a data storage.
- Choose your AWS region and Redshift database
- Use IAM authentication or username/password
- Keep full ownership of Shopify data in your Redshift cluster

S02 · Step 2
Step 2: Create Shopify Data Mart(s)
Create a new Data Mart and choose Connector as the definition type.
- Select Shopify as the data source
- Authorize access to your Shopify store by adding a Shop Domain and the Admin API Access Token
- Define which e-commerce entities you want to collect

S03 · Step 3
Step 3: Select Shopify Database & Fields
Choose exactly which Shopify data should be collected.
- Select entities such as orders, order items, products, customers, and refunds
- Define the dataset and table where data will be stored
- Publish Shopify Data Mart once configuration is complete

S04 · Step 4
Step 4: Run & Schedule Shopify Data Collection
Once published, control how and when Shopify data is imported.
- Run manually and select Backfill to load historical data
- Add a Connector run Trigger so Shopify data is collected on your schedule
- All runs are logged and visible in Run History

S05 · Step 5
Step 5: Get more from your Shopify Analytics
Your Shopify data is now available in Redshift.
- Build revenue, orders, and product performance reports
- Blend Shopify data with ad platforms, GA4, or CRM data
- Enable Shopify Analytics AI Insights delivered on a schedule to Slack, MS Teams or by Email

Related connectors
What users are saying
Every claim has a receipt.
Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.
“AI, by the nature of the models, will hallucinate. And because of that, you need something which will create guardrails to ensure that there are no hallucinations, that you can trust your data.”
“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
“We regained time. And time is the one resource that never comes back.”


