Unleashed to Amazon S3 integration
Connect Unleashed to Amazon S3 and automatically sync your ecommerce platform data. Weld extracts data from Unleashed, loads it into Amazon S3, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceUnleashedConnected- customer54 cols
- sales_order_line33 cols
- sales_shipment_line19 cols
- warehouse19 cols
- stock_on_hand18 cols
- customer_delivery_address4 cols
- Extract
- Load
- Keep in sync
DestinationAmazon S3Ready- unleashed.customerSynced
- unleashed.sales_order_lineSyncing
- unleashed.sales_shipment_lineSynced
- unleashed.warehouseSynced
- unleashed.stock_on_handSynced
- unleashed.customer_delivery_addressSynced
- Unleashed tables
- 63
- fields, typed
- 1,232
- relationships kept
- 3
- agent context included
- MCP
Trusted by data and AI teams
How to set up Unleashed to Amazon S3 in Weld.
In the app, with the API or an agent.
New connectionUnleashedAuthorisedWhy sync Unleashed to Amazon S3?
Ready for analysis.
Centralizing your Unleashed 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 Unleashed data directly in Amazon S3 using SQL or your preferred BI tool.
Revenue and order analytics
Track orders, products, and customer behavior from Unleashed in Amazon S3. Build cohort analyses, LTV models, and inventory forecasting.
Centralized data warehouse
Bring Unleashed 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 Unleashed to Amazon S3. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Unleashed table, keys intact.
Weld syncs the objects the Unleashed connector exposes into Amazon S3, and you choose which tables and fields to include. The connector's docs list what is available.
- customer
- sales_order_line
- sales_shipment_line
- warehouse
- stock_on_hand
- customer_delivery_address
- product
- sales_order
- sales_quote
- purchase_order
- sales_invoice
- sales_shipment
- assembly
- purchase_order_line
- credit_note
- supplier
- supplier_return
- credit_note_line
- supplier_return_line
- sales_quote_line
- warehouse_stock_transfer_detail
- product_price
- bill_of_materials
- sales_invoice_line
- customer_contact
- supplier_return_cost
- warehouse_stock_transfer
- stock_adjustment
- assembly_line
- bill_of_materials_line
- and 33 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 Unleashed context, finds the tables it needs and runs the query in Amazon S3.
How many customer_delivery_address rows do we have per customer? Use our Unleashed data in Amazon S3.
Reading the Unleashed 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 Unleashed API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Unleashed 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 Unleashed to Amazon S3.
Start syncing Unleashed to Amazon S3.
Set up your Unleashed data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
