ChartMogul to MotherDuck integration
Connect ChartMogul to MotherDuck and automatically sync your finance & accounting data. Weld extracts data from ChartMogul, loads it into MotherDuck, and lets you transform the data using SQL or dbt, no custom scripts required.
- customers48 cols
- customer_activities15 cols
- subscriptions15 cols
- all_metrics13 cols
- plans7 cols
- Extract
- Load
- Keep in sync
- chartmogul.customersSynced
- chartmogul.customer_activitiesSyncing
- chartmogul.subscriptionsSynced
- chartmogul.all_metricsSynced
- chartmogul.plansSynced
- ChartMogul tables
- 5
- fields, typed
- 98
- relationships kept
- 3
- agent context included
- MCP
Trusted by data and AI teams
How to set up ChartMogul to MotherDuck in Weld.
In the app, with the API or an agent.
Why sync ChartMogul to MotherDuck?
Ready for analysis.
Centralizing your ChartMogul 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 ChartMogul data directly in MotherDuck using SQL or your preferred BI tool.
Financial reporting
Centralize financial data from ChartMogul in MotherDuck for automated financial dashboards and month-end close analysis.
Centralized data warehouse
Bring ChartMogul 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 ChartMogul to MotherDuck. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every ChartMogul table, keys intact.
Weld syncs the objects the ChartMogul connector exposes into MotherDuck, and you choose which tables and fields to include. The connector's docs list what is available.
- customers
- customer_activities
- subscriptions
- all_metrics
- plans
Ask your agent.
It queries MotherDuck for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the ChartMogul context, finds the tables it needs and runs the query in MotherDuck.
How many customers rows do we have in MotherDuck?
Reading the ChartMogul 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 ChartMogul API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If ChartMogul 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 ChartMogul to MotherDuck.
Start syncing ChartMogul to MotherDuck.
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