Fourth to MotherDuck integration
Connect Fourth to MotherDuck and automatically sync your finance & accounting data. Weld extracts data from Fourth, loads it into MotherDuck, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceFourthConnected- employee36 cols
- payroll22 cols
- employment45 cols
- shift36 cols
- shift_forecast36 cols
- employee_payslip26 cols
- Extract
- Load
- Keep in sync
DestinationMotherDuckReady- fourth.employeeSynced
- fourth.payrollSyncing
- fourth.employmentSynced
- fourth.shiftSynced
- fourth.shift_forecastSynced
- fourth.employee_payslipSynced
- Fourth tables
- 33
- fields, typed
- 565
- relationships kept
- 17
- agent context included
- MCP
Trusted by data and AI teams
How to set up Fourth to MotherDuck in Weld.
In the app, with the API or an agent.
New connectionFourthAuthorisedWhy sync Fourth to MotherDuck?
Ready for analysis.
Centralizing your Fourth 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 Fourth data directly in MotherDuck using SQL or your preferred BI tool.
Financial reporting
Centralize financial data from Fourth in MotherDuck for automated financial dashboards and month-end close analysis.
Centralized data warehouse
Bring Fourth 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 Fourth to MotherDuck. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Fourth table, keys intact.
Weld syncs the objects the Fourth connector exposes into MotherDuck, and you choose which tables and fields to include. The connector's docs list what is available.
- employee
- payroll
- employment
- shift
- shift_forecast
- employee_payslip
- payroll_forecast
- employee_next_of_kin
- employee_pay_part
- employee_address
- employee_payment_details
- employee_absence
- employee_document
- employee_accrual
- staff_skill
- employee_payroll_period
- employee_passport
- employee_country_specific
- contractor_shift
- fixed_task
- minimum_staffing
- budget
- sales
- sales_forecast
- employee_import_log
- sales_type
- labour_daily_summary
- productivity_analysis
- fixed_cost
- employee_location
- and 3 more
Ask your agent.
It queries MotherDuck for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Fourth context, finds the tables it needs and runs the query in MotherDuck.
How many employee rows do we have per employee? Use our Fourth data in MotherDuck.
Reading the Fourth 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 Fourth API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Fourth 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 Fourth to MotherDuck.
Start syncing Fourth to MotherDuck.
Set up your Fourth data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
