Toast Analytics to Snowflake integration
Connect Toast Analytics to Snowflake and automatically sync your application data. Weld extracts data from Toast Analytics, loads it into Snowflake, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceToast AnalyticsConnected- 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
DestinationSnowflakeReady- 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
Trusted by data and AI teams
How to set up Toast Analytics to Snowflake in Weld.
In the app, with the API or an agent.
New connectionToast AnalyticsAuthorisedWhy sync Toast Analytics to Snowflake?
Ready for analysis.
Centralizing your Toast Analytics data in Snowflake 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 Snowflake using SQL or your preferred BI tool.
Centralized data warehouse
Bring Toast Analytics data into Snowflake 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 Snowflake. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Toast Analytics table, keys intact.
Weld syncs the objects the Toast Analytics connector exposes into Snowflake, and you choose which tables and fields to include. The connector's docs list what is available.
- 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
Ask your agent.
It queries Snowflake 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 Snowflake.
How many analytics_aggregated_sales rows do we have in Snowflake?
Reading the Toast Analytics 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 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 Snowflake 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.
Toast Analytics setup guide
How to connect Toast Analytics to Weld, step by step.
DocumentationSnowflake setup guide
How to connect Snowflake to Weld, step by step.
SchemaToast Analytics schema explorer
Browse all 13 tables and 214 fields.
ConnectorToast Analytics connector
Everything Weld does with Toast Analytics.
Common questions.
About Toast Analytics to Snowflake.
Start syncing Toast Analytics to Snowflake.
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SourceWarehouse
