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Adobe Commerce to Databricks integration

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

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4.8 on G2
Adobe CommerceSource
WeldWeld
DatabricksWarehouse
Weld · New sync
Adobe CommerceSourceAdobe CommerceConnected
Tables to sync
  • sales_order146 cols
  • sales_order_item82 cols
  • cataloginventory_stock_item27 cols
  • email_contact13 cols
  • catalog_product_entity9 cols
  • Extract
  • Load
  • Keep in sync
DatabricksDestinationDatabricksReady
adobe_commerce schema
  • adobe_commerce.sales_orderSynced
  • adobe_commerce.sales_order_itemSyncing
  • adobe_commerce.cataloginventory_stock_itemSynced
  • adobe_commerce.email_contactSynced
  • adobe_commerce.catalog_product_entitySynced
Adobe Commerce tables
5
fields, typed
277
agent context included
MCP

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How it works

How to set up Adobe Commerce to Databricks in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New Adobe Commerce sync
Adobe CommerceNew connectionAdobe CommerceAuthorised
Connection nameadobe_commerce
AuthorizeOpens Adobe Commerce to grant read access
Use cases

Why sync Adobe Commerce to Databricks?
Ready for analysis.

Centralizing your Adobe Commerce data in Databricks lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying Adobe Commerce data directly in Databricks using SQL or your preferred BI tool.

  • Revenue and order analytics

    Track orders, products, and customer behavior from Adobe Commerce in Databricks. Build cohort analyses, LTV models, and inventory forecasting.

  • Centralized data warehouse

    Bring Adobe Commerce data into Databricks 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 Adobe Commerce to Databricks. Connect BI tools like Looker, Metabase, or Power BI.

Schema

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

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

Open the schema explorer
All 5 tables
  • sales_order
  • sales_order_item
  • cataloginventory_stock_item
  • email_contact
  • catalog_product_entity
Weld MCP server

Ask your agent.
It queries Databricks for you.

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

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many email_contact rows do we have per email_contact? Use our Adobe Commerce data in Databricks.

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

●weld·search_available_references
⎿raw.adobe_commerce.email_contact
raw.adobe_commerce.email_contact
+ 3 more Adobe Commerce tables
●weld·get_reference_schema
⎿email_contact · 13 columns
joins email_contact on email_contact_id
●weld·run_query
⎿select j.id, count(*) from {{raw.adobe_commerce.email_contact}} e
join {{raw.adobe_commerce.email_contact}} j on e.email_contact_id = j.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from Adobe Commerce data in Databricks
>Ask about your Adobe Commerce data
Under the hood

Technical considerations.
What to expect.

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

Adobe Commerce setup guide

How to connect Adobe Commerce to Weld, step by step.

Documentation

Databricks setup guide

How to connect Databricks to Weld, step by step.

Schema

Adobe Commerce schema explorer

Browse all 5 tables and 277 fields.

Connector

Adobe Commerce connector

Everything Weld does with Adobe Commerce.

FAQ

Common questions.
About Adobe Commerce to Databricks.

Start syncing Adobe Commerce to Databricks.

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

Adobe CommerceSource
WeldWeld
DatabricksWarehouse
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