Amazon MWS to Microsoft SQL Server integration

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

4.8 on G2
Amazon MWSSource
WeldWeld
Microsoft SQL ServerWarehouse
Weld · New sync
Amazon MWSSourceAmazon MWSConnected
Tables to sync

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

  • Extract
  • Load
  • Keep in sync
Microsoft SQL ServerDestinationMicrosoft SQL ServerReady
amazon_mws schema
  • amazon_mws.Synced
  • amazon_mws.Syncing
  • amazon_mws.Synced
  • amazon_mws.Synced

Trusted by data and AI teams

  • Flatpay
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  • Female Invest
  • Son of a Tailor
  • Onomondo
  • Medik8
  • Pas Normal Studios
How it works

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

Weld · New Amazon MWS sync
Amazon MWSNew connectionAmazon MWSAuthorised
Connection nameamazon_mws
AuthorizeOpens Amazon MWS to grant read access
Use cases

Why sync Amazon MWS to Microsoft SQL Server?
Ready for analysis.

Centralizing your Amazon MWS 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 Amazon MWS data directly in Microsoft SQL Server using SQL or your preferred BI tool.

  • Revenue and order analytics

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

  • Centralized data warehouse

    Bring Amazon MWS 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 Amazon MWS to Microsoft SQL Server. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you sync?
From Amazon MWS to Microsoft SQL Server.

Weld syncs the objects the Amazon MWS connector exposes into Microsoft SQL Server, 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 Microsoft SQL Server for you.

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

    Claude CodeOpus 5
    >

    Which Amazon MWS tables do we have in Microsoft SQL Server, and which is the largest?

    Looking up what Weld has synced from Amazon MWS.

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

    Technical considerations.
    What to expect.

    Incremental syncing
    Weld uses incremental syncing where supported by the Amazon MWS API, loading only new and updated records to minimize data transfer and warehouse costs.
    Schema handling
    Weld automatically manages schema changes. If Amazon MWS 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.
    FAQ

    Common questions.
    About Amazon MWS to Microsoft SQL Server.

    Start syncing Amazon MWS to Microsoft SQL Server.

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

    Amazon MWSSource
    WeldWeld
    Microsoft SQL ServerWarehouse