Medusa to Snowflake integration

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

4.8 on G2
MedusaSource
WeldWeld
SnowflakeWarehouse
Weld · New sync
MedusaSourceMedusaConnected
Tables to sync

Your own tables, picked when you set up the sync.

  • Extract
  • Load
  • Keep in sync
SnowflakeDestinationSnowflakeReady
medusa schema
  • medusa.Synced
  • medusa.Syncing
  • medusa.Synced
  • medusa.Synced

Trusted by data and AI teams

  • Flatpay
  • Holafly
  • eComplete
  • Dishoom
  • Danish Endurance
  • Female Invest
  • Son of a Tailor
  • Onomondo
  • Medik8
  • Pas Normal Studios
How it works

How to set up Medusa to Snowflake in Weld.
In the app, with the API or an agent.

Weld · New Medusa sync
MedusaNew connectionMedusaAuthorised
Connection namemedusa
AuthorizeOpens Medusa to grant read access
Use cases

Why sync Medusa to Snowflake?
Ready for analysis.

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

Build reliable dashboards and reports by querying Medusa data directly in Snowflake using SQL or your preferred BI tool.

  • Revenue and order analytics

    Track orders, products, and customer behavior from Medusa in Snowflake. Build cohort analyses, LTV models, and inventory forecasting.

  • Centralized data warehouse

    Bring Medusa data into Snowflake 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 Medusa to Snowflake. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you sync?
From Medusa to Snowflake.

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

    Weld MCP server

    Ask your agent.
    It queries Snowflake for you.

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

    Claude CodeOpus 5
    >

    Which Medusa tables do we have in Snowflake, and which is the largest?

    Looking up what Weld has synced from Medusa.

    ●weld·search_available_references
    ⎿raw.medusa.*
    tables, columns and freshness
    ●weld·get_reference_schema
    ⎿columns, types and nullability
    ●weld·run_query
    ⎿select count(*) from {{raw.medusa.…}}
    submitted
    ●weld·get_query_status
    ⎿DONE
    ●weld·get_query_result
    ⎿rows returned
    ✓Answered from Medusa data in Snowflake
    >Ask about your Medusa data
    Under the hood

    Technical considerations.
    What to expect.

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

    Common questions.
    About Medusa to Snowflake.

    Start syncing Medusa to Snowflake.

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

    MedusaSource
    WeldWeld
    SnowflakeWarehouse