Amazon DSP to Snowflake integration

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

4.8 on G2
Amazon DSPSource
WeldWeld
SnowflakeWarehouse
Weld · New sync
Amazon DSPSourceAmazon DSPConnected
Tables to sync

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

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

Trusted by data and AI teams

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

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

Weld · New Amazon DSP sync
Amazon DSPNew connectionAmazon DSPAuthorised
Connection nameamazon_dsp
AuthorizeOpens Amazon DSP to grant read access
Use cases

Why sync Amazon DSP to Snowflake?
Ready for analysis.

Centralizing your Amazon DSP 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 Amazon DSP data directly in Snowflake using SQL or your preferred BI tool.

  • Cross-channel ad performance

    Consolidate Amazon DSP campaign data in Snowflake alongside other ad platforms. Compare ROAS, CPA, and conversion rates in a single dashboard.

  • Centralized data warehouse

    Bring Amazon DSP 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 Amazon DSP to Snowflake. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you sync?
From Amazon DSP to Snowflake.

Weld syncs the objects the Amazon DSP 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 Amazon DSP context, finds the tables it needs and runs the query in Snowflake.

    Claude CodeOpus 5
    >

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

    Looking up what Weld has synced from Amazon DSP.

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

    Technical considerations.
    What to expect.

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

    Start syncing Amazon DSP to Snowflake.

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

    Amazon DSPSource
    WeldWeld
    SnowflakeWarehouse