Fourth to Microsoft SQL Server integration
Connect Fourth to Microsoft SQL Server and automatically sync your finance & accounting data. Weld extracts data from Fourth, loads it into Microsoft SQL Server, and lets you transform the data using SQL or dbt, no custom scripts required.
- employee36 cols
- payroll22 cols
- employment45 cols
- shift36 cols
- shift_forecast36 cols
- employee_payslip26 cols
- Extract
- Load
- Keep in sync
- 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 Microsoft SQL Server in Weld.
In the app, with the API or an agent.
Why sync Fourth to Microsoft SQL Server?
Ready for analysis.
Centralizing your Fourth data in Microsoft SQL Server 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 Microsoft SQL Server using SQL or your preferred BI tool.
Financial reporting
Centralize financial data from Fourth in Microsoft SQL Server for automated financial dashboards and month-end close analysis.
Centralized data warehouse
Bring Fourth data into Microsoft SQL Server 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 Microsoft SQL Server. 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 Microsoft SQL Server, 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 Microsoft SQL Server 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 Microsoft SQL Server.
How many employee rows do we have per employee? Use our Fourth data in Microsoft SQL Server.
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 Microsoft SQL Server 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.
Fourth setup guide
How to connect Fourth to Weld, step by step.
DocumentationMicrosoft SQL Server setup guide
How to connect Microsoft SQL Server to Weld, step by step.
SchemaFourth schema explorer
Browse all 33 tables and 565 fields.
ConnectorFourth connector
Everything Weld does with Fourth.
Common questions.
About Fourth to Microsoft SQL Server.
Start syncing Fourth to Microsoft SQL Server.
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