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Toast Analytics to Microsoft SQL Server integration

Connect Toast Analytics to Microsoft SQL Server and automatically sync your application data. Weld extracts data from Toast Analytics, loads it into Microsoft SQL Server, and lets you transform the data using SQL or dbt, no custom scripts required.

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4.8 on G2
Toast AnalyticsSource
WeldWeld
Microsoft SQL ServerWarehouse
Weld · New sync
Toast AnalyticsSourceToast AnalyticsConnected
Tables to sync
  • analytics_aggregated_sales23 cols
  • analytics_menu23 cols
  • analytics_check21 cols
  • analytics_labor18 cols
  • analytics_labor_by_employee18 cols
  • analytics_labor_by_job17 cols
  • Extract
  • Load
  • Keep in sync
Microsoft SQL ServerDestinationMicrosoft SQL ServerReady
toast_analytics schema
  • toast_analytics.analytics_aggregated_salesSynced
  • toast_analytics.analytics_menuSyncing
  • toast_analytics.analytics_checkSynced
  • toast_analytics.analytics_laborSynced
  • toast_analytics.analytics_labor_by_employeeSynced
  • toast_analytics.analytics_labor_by_jobSynced
Toast Analytics tables
13
fields, typed
214
agent context included
MCP

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How it works

How to set up Toast Analytics to Microsoft SQL Server in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New Toast Analytics sync
Toast AnalyticsNew connectionToast AnalyticsAuthorised
Connection nametoast_analytics
AuthorizeOpens Toast Analytics to grant read access
Use cases

Why sync Toast Analytics to Microsoft SQL Server?
Ready for analysis.

Centralizing your Toast Analytics 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 Toast Analytics data directly in Microsoft SQL Server using SQL or your preferred BI tool.

  • Centralized data warehouse

    Bring Toast Analytics 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 Toast Analytics to Microsoft SQL Server. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every Toast Analytics table, keys intact.

Weld syncs the objects the Toast Analytics connector exposes into Microsoft SQL Server, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 13 tables
  • analytics_aggregated_sales
  • analytics_menu
  • analytics_check
  • analytics_labor
  • analytics_labor_by_employee
  • analytics_labor_by_job
  • analytics_menu_by_menu
  • analytics_menu_by_menu_item
  • analytics_payout_by_payments
  • analytics_payout_by_settled_date
  • analytics_payout_by_sales_date
  • analytics_guest_by_payment
  • analytics_restaurants_information
Weld MCP server

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 Toast Analytics context, finds the tables it needs and runs the query in Microsoft SQL Server.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many analytics_aggregated_sales rows do we have in Microsoft SQL Server?

Reading the Toast Analytics context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.toast_analytics.analytics_aggregated_sales
+ 12 more Toast Analytics tables
●weld·get_reference_schema
⎿analytics_aggregated_sales · 23 columns
columns and types
●weld·run_query
⎿select count(*) from {{raw.toast_analytics.analytics_aggregated_sales}}
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from Toast Analytics data in Microsoft SQL Server
>Ask about your Toast Analytics data
Under the hood

Technical considerations.
What to expect.

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

Keep reading.
Guides, docs and schema.

Documentation

Toast Analytics setup guide

How to connect Toast Analytics to Weld, step by step.

Documentation

Microsoft SQL Server setup guide

How to connect Microsoft SQL Server to Weld, step by step.

Schema

Toast Analytics schema explorer

Browse all 13 tables and 214 fields.

Connector

Toast Analytics connector

Everything Weld does with Toast Analytics.

FAQ

Common questions.
About Toast Analytics to Microsoft SQL Server.

Start syncing Toast Analytics to Microsoft SQL Server.

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

Toast AnalyticsSource
WeldWeld
Microsoft SQL ServerWarehouse
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Related

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