AWS Lambda to MotherDuck integration

Connect AWS Lambda to MotherDuck and automatically sync your application data. Weld extracts data from AWS Lambda, loads it into MotherDuck, and lets you transform the data using SQL or dbt, no custom scripts required.

4.8 on G2
AWS LambdaSource
WeldWeld
MotherDuckWarehouse
Weld · New sync
AWS LambdaSourceAWS LambdaConnected
Tables to sync

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

  • Extract
  • Load
  • Keep in sync
MotherDuckDestinationMotherDuckReady
aws_lambda schema
  • aws_lambda.Synced
  • aws_lambda.Syncing
  • aws_lambda.Synced
  • aws_lambda.Synced

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How it works

How to set up AWS Lambda to MotherDuck in Weld.
In the app, with the API or an agent.

Weld · New AWS Lambda sync
AWS LambdaNew connectionAWS LambdaAuthorised
Connection nameaws_lambda
AuthorizeOpens AWS Lambda to grant read access
Use cases

Why sync AWS Lambda to MotherDuck?
Ready for analysis.

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

Build reliable dashboards and reports by querying AWS Lambda data directly in MotherDuck using SQL or your preferred BI tool.

  • Centralized data warehouse

    Bring AWS Lambda data into MotherDuck 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 AWS Lambda to MotherDuck. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you sync?
From AWS Lambda to MotherDuck.

Weld syncs the objects the AWS Lambda connector exposes into MotherDuck, 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 MotherDuck for you.

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

    Claude CodeOpus 5
    >

    Which AWS Lambda tables do we have in MotherDuck, and which is the largest?

    Looking up what Weld has synced from AWS Lambda.

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

    Technical considerations.
    What to expect.

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

    Start syncing AWS Lambda to MotherDuck.

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

    AWS LambdaSource
    WeldWeld
    MotherDuckWarehouse