Daisycon to MotherDuck integration
Connect Daisycon to MotherDuck and automatically sync your marketing platform data. Weld extracts data from Daisycon, loads it into MotherDuck, and lets you transform the data using SQL or dbt, no custom scripts required.
- advertiser11 cols
- advertiser_statistics_by_ad33 cols
- advertiser_statistics_per_media31 cols
- advertiser_statistics_by_publisher29 cols
- advertiser_statistics_per_day28 cols
- financial_invoices13 cols
- Extract
- Load
- Keep in sync
- daisycon.advertiserSynced
- daisycon.advertiser_statistics_by_adSyncing
- daisycon.advertiser_statistics_per_mediaSynced
- daisycon.advertiser_statistics_by_publisherSynced
- daisycon.advertiser_statistics_per_daySynced
- daisycon.financial_invoicesSynced
- Daisycon tables
- 7
- fields, typed
- 154
- relationships kept
- 6
- agent context included
- MCP
Trusted by data and AI teams
How to set up Daisycon to MotherDuck in Weld.
In the app, with the API or an agent.
Why sync Daisycon to MotherDuck?
Ready for analysis.
Centralizing your Daisycon 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 Daisycon data directly in MotherDuck using SQL or your preferred BI tool.
Centralized data warehouse
Bring Daisycon 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 Daisycon to MotherDuck. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Daisycon table, keys intact.
Weld syncs the objects the Daisycon connector exposes into MotherDuck, and you choose which tables and fields to include. The connector's docs list what is available.
- advertiser
- advertiser_statistics_by_ad
- advertiser_statistics_per_media
- advertiser_statistics_by_publisher
- advertiser_statistics_per_day
- financial_invoices
- financial_invoice_line
Ask your agent.
It queries MotherDuck for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Daisycon context, finds the tables it needs and runs the query in MotherDuck.
How many advertiser_statistics_by_ad rows do we have per advertiser? Use our Daisycon data in MotherDuck.
Reading the Daisycon context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Daisycon API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Daisycon 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.
Keep reading.
Guides, docs and schema.
Common questions.
About Daisycon to MotherDuck.
Start syncing Daisycon to MotherDuck.
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