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Unleashed to Apache Iceberg integration

Connect Unleashed to Apache Iceberg and automatically sync your ecommerce platform data. Weld extracts data from Unleashed, loads it into Apache Iceberg, and lets you transform the data using SQL or dbt, no custom scripts required.

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4.8 on G2
UnleashedSource
WeldWeld
Apache IcebergWarehouse
Weld · New sync
UnleashedSourceUnleashedConnected
Tables to sync
  • 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
Apache IcebergDestinationApache IcebergReady
unleashed schema
  • 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

  • Flatpay
  • Holafly
  • eComplete
  • Dishoom
  • Danish Endurance
  • Female Invest
  • Son of a Tailor
  • Onomondo
  • Medik8
  • Pas Normal Studios
How it works

How to set up Unleashed to Apache Iceberg in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New Unleashed sync
UnleashedNew connectionUnleashedAuthorised
Connection nameunleashed
AuthorizeOpens Unleashed to grant read access
Use cases

Why sync Unleashed to Apache Iceberg?
Ready for analysis.

Centralizing your Unleashed data in Apache Iceberg 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 Apache Iceberg using SQL or your preferred BI tool.

  • Revenue and order analytics

    Track orders, products, and customer behavior from Unleashed in Apache Iceberg. Build cohort analyses, LTV models, and inventory forecasting.

  • Centralized data warehouse

    Bring Unleashed data into Apache Iceberg 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 Apache Iceberg. Connect BI tools like Looker, Metabase, or Power BI.

Schema

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

Weld syncs the objects the Unleashed connector exposes into Apache Iceberg, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 63 tables
  • 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
Weld MCP server

Ask your agent.
It queries Apache Iceberg 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 Apache Iceberg.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many customer_delivery_address rows do we have per customer? Use our Unleashed data in Apache Iceberg.

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

●weld·search_available_references
⎿raw.unleashed.customer_delivery_address
raw.unleashed.customer
+ 61 more Unleashed tables
●weld·get_reference_schema
⎿customer_delivery_address · 4 columns
joins customer on customer_id
●weld·run_query
⎿select j.id, count(*) from {{raw.unleashed.customer_delivery_address}} c
join {{raw.unleashed.customer}} j on c.customer_id = j.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from Unleashed data in Apache Iceberg
>Ask about your Unleashed data
Under the hood

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 Apache Iceberg 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

Unleashed setup guide

How to connect Unleashed to Weld, step by step.

Documentation

Apache Iceberg setup guide

How to connect Apache Iceberg to Weld, step by step.

Schema

Unleashed schema explorer

Browse all 63 tables and 1,232 fields.

Connector

Unleashed connector

Everything Weld does with Unleashed.

FAQ

Common questions.
About Unleashed to Apache Iceberg.

Start syncing Unleashed to Apache Iceberg.

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

UnleashedSource
WeldWeld
Apache IcebergWarehouse
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