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BigCommerce to Microsoft SQL Server integration

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

Start for freeView setup guide
4.8 on G2
BigCommerceSource
WeldWeld
Microsoft SQL ServerWarehouse
Weld · New sync
BigCommerceSourceBigCommerceConnected
Tables to sync
  • order81 cols
  • product67 cols
  • order_line_item56 cols
  • currency18 cols
  • category17 cols
  • customer17 cols
  • Extract
  • Load
  • Keep in sync
Microsoft SQL ServerDestinationMicrosoft SQL ServerReady
bigcommerce schema
  • bigcommerce.orderSynced
  • bigcommerce.productSyncing
  • bigcommerce.order_line_itemSynced
  • bigcommerce.currencySynced
  • bigcommerce.categorySynced
  • bigcommerce.customerSynced
BigCommerce tables
22
fields, typed
428
relationships kept
8
agent context included
MCP

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  • Flatpay
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  • Female Invest
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  • Pas Normal Studios
How it works

How to set up BigCommerce to Microsoft SQL Server in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New BigCommerce sync
BigCommerceNew connectionBigCommerceAuthorised
Connection namebigcommerce
AuthorizeOpens BigCommerce to grant read access
Use cases

Why sync BigCommerce to Microsoft SQL Server?
Ready for analysis.

Centralizing your BigCommerce data in Microsoft SQL Server lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying BigCommerce data directly in Microsoft SQL Server using SQL or your preferred BI tool.

  • Revenue and order analytics

    Track orders, products, and customer behavior from BigCommerce in Microsoft SQL Server. Build cohort analyses, LTV models, and inventory forecasting.

  • Centralized data warehouse

    Bring BigCommerce data into Microsoft SQL Server 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 BigCommerce to Microsoft SQL Server. Connect BI tools like Looker, Metabase, or Power BI.

Schema

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

Weld syncs the objects the BigCommerce connector exposes into Microsoft SQL Server, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 22 tables
  • order
  • product
  • order_line_item
  • currency
  • category
  • customer
  • channel
  • brand
  • refund
  • refund_line_item
  • product_category
  • order_shipping_address
  • product_variant
  • customer_address
  • order_tax
  • order_line_item_discount
  • order_coupon
  • refund_payment
  • product_bulk_pricing_rule
  • product_custom_field
  • customer_form_field
  • product_related_product
Weld MCP server

Ask your agent.
It queries Microsoft SQL Server for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the BigCommerce context, finds the tables it needs and runs the query in Microsoft SQL Server.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many order rows do we have per customer? Use our BigCommerce data in Microsoft SQL Server.

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

●weld·search_available_references
⎿raw.bigcommerce.order
raw.bigcommerce.customer
+ 20 more BigCommerce tables
●weld·get_reference_schema
⎿order · 81 columns
joins customer on customer_id
●weld·run_query
⎿select c.id, count(*) from {{raw.bigcommerce.order}} o
join {{raw.bigcommerce.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 BigCommerce data in Microsoft SQL Server
>Ask about your BigCommerce data
Under the hood

Technical considerations.
What to expect.

Incremental syncing
Weld uses incremental syncing where supported by the BigCommerce API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If BigCommerce adds new fields, they're detected and added to the corresponding Microsoft SQL Server 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

BigCommerce setup guide

How to connect BigCommerce to Weld, step by step.

Documentation

Microsoft SQL Server setup guide

How to connect Microsoft SQL Server to Weld, step by step.

Schema

BigCommerce schema explorer

Browse all 22 tables and 428 fields.

Connector

BigCommerce connector

Everything Weld does with BigCommerce.

FAQ

Common questions.
About BigCommerce to Microsoft SQL Server.

Start syncing BigCommerce to Microsoft SQL Server.

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

BigCommerceSource
WeldWeld
Microsoft SQL ServerWarehouse
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Related

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