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Shopify Plus to PostgreSQL integration

Connect Shopify Plus to PostgreSQL and automatically sync your ecommerce platform data. Weld extracts data from Shopify Plus, loads it into PostgreSQL, and lets you transform the data using SQL or dbt, no custom scripts required.

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4.8 on G2
Shopify PlusSource
WeldWeld
PostgreSQLWarehouse
Weld · New sync
Shopify PlusSourceShopify PlusConnected
Tables to sync
  • order138 cols
  • product14 cols
  • customer26 cols
  • location21 cols
  • user14 cols
  • fulfillment_event23 cols
  • Extract
  • Load
  • Keep in sync
PostgreSQLDestinationPostgreSQLReady
shopify_plus schema
  • shopify_plus.orderSynced
  • shopify_plus.productSyncing
  • shopify_plus.customerSynced
  • shopify_plus.locationSynced
  • shopify_plus.userSynced
  • shopify_plus.fulfillment_eventSynced
Shopify Plus tables
94
fields, typed
1,482
relationships kept
59
agent context included
MCP

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How it works

How to set up Shopify Plus to PostgreSQL in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New Shopify Plus sync
Shopify PlusNew connectionShopify PlusAuthorised
Connection nameshopify_plus
AuthorizeOpens Shopify Plus to grant read access
Use cases

Why sync Shopify Plus to PostgreSQL?
Ready for analysis.

Centralizing your Shopify Plus data in PostgreSQL lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying Shopify Plus data directly in PostgreSQL using SQL or your preferred BI tool.

  • Revenue and order analytics

    Track orders, products, and customer behavior from Shopify Plus in PostgreSQL. Build cohort analyses, LTV models, and inventory forecasting.

  • Centralized data warehouse

    Bring Shopify Plus data into PostgreSQL alongside other sources to create a single source of truth for your organization.

  • Automated reporting

    Replace manual exports and spreadsheet-based reporting with automated pipelines from Shopify Plus to PostgreSQL. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every Shopify Plus table, keys intact.

Weld syncs the objects the Shopify Plus connector exposes into PostgreSQL, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 94 tables
  • order
  • product
  • customer
  • location
  • user
  • fulfillment_event
  • product_variant
  • fulfillment_order
  • inventory_item
  • abandoned_checkout
  • draft_order
  • shop
  • transaction
  • fulfillment
  • tender_transaction
  • collection
  • inventory_level
  • product_variant_contextual_pricing
  • inventory_level_quantities
  • abandoned_checkout_line
  • order_agreement_sale
  • order_line
  • draft_order_line
  • price_rule
  • fulfillment_order_line
  • order_line_refund
  • order_customer_journey_summary_visit
  • discount_code
  • order_metafield
  • transaction_fees
  • and 64 more
Weld MCP server

Ask your agent.
It queries PostgreSQL for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Shopify Plus context, finds the tables it needs and runs the query in PostgreSQL.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many order rows do we have per customer? Use our Shopify Plus data in PostgreSQL.

Reading the Shopify Plus context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.shopify_plus.order
raw.shopify_plus.customer
+ 92 more Shopify Plus tables
●weld·get_reference_schema
⎿order · 138 columns
joins customer on customer_id
●weld·run_query
⎿select c.id, count(*) from {{raw.shopify_plus.order}} o
join {{raw.shopify_plus.customer}} c on o.customer_id = c.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from Shopify Plus data in PostgreSQL
>Ask about your Shopify Plus data
Under the hood

Technical considerations.
What to expect.

Reverse ETL

ELT vs. reverse ETL: Shopify Plus and PostgreSQL

ELT (Extract, Load, Transform) moves data from Shopify Plus into PostgreSQL for analysis. This is the approach shown on this page, and the one to use for dashboards, reports, and data models.

Reverse ETL works the other direction: it pushes enriched data from PostgreSQL back into Shopify Plus. For example, you could sync computed lead scores or customer segments from your warehouse into Shopify Plus to personalize outreach.

Weld supports both directions, so you can build a complete data loop between Shopify Plus and PostgreSQL.

PostgreSQL to Shopify Plus
Incremental syncing
Weld uses incremental syncing where supported by the Shopify Plus API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If Shopify Plus adds new fields, they're detected and added to the corresponding PostgreSQL tables.
Data freshness
Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
Security
All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Resources

Keep reading.
Guides, docs and schema.

Documentation

Shopify Plus setup guide

How to connect Shopify Plus to Weld, step by step.

Documentation

PostgreSQL setup guide

How to connect PostgreSQL to Weld, step by step.

Schema

Shopify Plus schema explorer

Browse all 94 tables and 1,482 fields.

Connector

Shopify Plus connector

Everything Weld does with Shopify Plus.

FAQ

Common questions.
About Shopify Plus to PostgreSQL.

Start syncing Shopify Plus to PostgreSQL.

Set up your Shopify Plus data pipeline in minutes. No credit card required. Free for 14 days.

Shopify PlusSource
WeldWeld
PostgreSQLWarehouse
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Related

Related integrations.
More with Shopify Plus and PostgreSQL.

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