Toast to Amazon S3 integration
Connect Toast to Amazon S3 and automatically sync your application data. Weld extracts data from Toast, loads it into Amazon S3, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceToastConnected- restaurant13 cols
- order73 cols
- cash_entry25 cols
- service_area8 cols
- dining_option7 cols
- cash_drawer6 cols
- Extract
- Load
- Keep in sync
DestinationAmazon S3Ready- toast.restaurantSynced
- toast.orderSyncing
- toast.cash_entrySynced
- toast.service_areaSynced
- toast.dining_optionSynced
- toast.cash_drawerSynced
- Toast tables
- 67
- fields, typed
- 1,021
- relationships kept
- 47
- agent context included
- MCP
Trusted by data and AI teams
How to set up Toast to Amazon S3 in Weld.
In the app, with the API or an agent.
New connectionToastAuthorisedWhy sync Toast to Amazon S3?
Ready for analysis.
Centralizing your Toast data in Amazon S3 lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Toast data directly in Amazon S3 using SQL or your preferred BI tool.
Centralized data warehouse
Bring Toast data into Amazon S3 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 to Amazon S3. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Toast table, keys intact.
Weld syncs the objects the Toast connector exposes into Amazon S3, and you choose which tables and fields to include. The connector's docs list what is available.
- restaurant
- order
- cash_entry
- service_area
- dining_option
- cash_drawer
- discount
- tax_rate
- table
- revenue_center
- void_reason
- order_check_selection_modifier
- order_check_selection
- service_charge
- prep_station
- no_sale_reason
- payout_reason
- printer
- restaurant_service
- order_check_payment
- order_check_selection_applied_discount
- order_check_applied_discount
- time_entry
- order_check_applied_service_charge
- shift
- order_check_selection_applied_tax
- break_type
- job
- cash_deposit
- inventory
- and 37 more
Ask your agent.
It queries Amazon S3 for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Toast context, finds the tables it needs and runs the query in Amazon S3.
How many menu_item_tax_rate rows do we have per tax_rate? Use our Toast data in Amazon S3.
Reading the Toast 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 API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Toast adds new fields, they're detected and added to the corresponding Amazon S3 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 Toast to Amazon S3.
Start syncing Toast to Amazon S3.
Set up your Toast data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
