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Amazon Attribution to Databricks integration

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

Start for freeView setup guide
4.8 on G2
Amazon AttributionSource
WeldWeld
DatabricksWarehouse
Weld · New sync
Amazon AttributionSourceAmazon AttributionConnected
Tables to sync
  • profile12 cols
  • product_report33 cols
  • performance_report_by_adgroup21 cols
  • performance_report_by_creative21 cols
  • performance_report_by_campaign19 cols
  • advertiser4 cols
  • Extract
  • Load
  • Keep in sync
DatabricksDestinationDatabricksReady
amazon_attribution schema
  • amazon_attribution.profileSynced
  • amazon_attribution.product_reportSyncing
  • amazon_attribution.performance_report_by_adgroupSynced
  • amazon_attribution.performance_report_by_creativeSynced
  • amazon_attribution.performance_report_by_campaignSynced
  • amazon_attribution.advertiserSynced
Amazon Attribution tables
6
fields, typed
110
relationships kept
5
agent context included
MCP

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 Amazon Attribution to Databricks in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New Amazon Attribution sync
Amazon AttributionNew connectionAmazon AttributionAuthorised
Connection nameamazon_attribution
AuthorizeOpens Amazon Attribution to grant read access
Use cases

Why sync Amazon Attribution to Databricks?
Ready for analysis.

Centralizing your Amazon Attribution 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 Amazon Attribution data directly in Databricks using SQL or your preferred BI tool.

  • Cross-channel ad performance

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

  • Centralized data warehouse

    Bring Amazon Attribution 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 Amazon Attribution to Databricks. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every Amazon Attribution table, keys intact.

Weld syncs the objects the Amazon Attribution 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 6 tables
  • profile
  • product_report
  • performance_report_by_adgroup
  • performance_report_by_creative
  • performance_report_by_campaign
  • advertiser
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 Amazon Attribution context, finds the tables it needs and runs the query in Databricks.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many profile rows do we have per profile? Use our Amazon Attribution data in Databricks.

Reading the Amazon Attribution context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.amazon_attribution.profile
raw.amazon_attribution.profile
+ 4 more Amazon Attribution tables
●weld·get_reference_schema
⎿profile · 12 columns
joins profile on profile_id
●weld·run_query
⎿select j.id, count(*) from {{raw.amazon_attribution.profile}} p
join {{raw.amazon_attribution.profile}} j on p.profile_id = j.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from Amazon Attribution data in Databricks
>Ask about your Amazon Attribution data
Under the hood

Technical considerations.
What to expect.

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

Amazon Attribution setup guide

How to connect Amazon Attribution to Weld, step by step.

Documentation

Databricks setup guide

How to connect Databricks to Weld, step by step.

Schema

Amazon Attribution schema explorer

Browse all 6 tables and 110 fields.

Connector

Amazon Attribution connector

Everything Weld does with Amazon Attribution.

FAQ

Common questions.
About Amazon Attribution to Databricks.

Start syncing Amazon Attribution to Databricks.

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

Amazon AttributionSource
WeldWeld
DatabricksWarehouse
Start for freeTalk to us
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