Amazon MWS to Apache Iceberg integration
Connect Amazon MWS to Apache Iceberg and automatically sync your ecommerce platform data. Weld extracts data from Amazon MWS, loads it into Apache Iceberg, and lets you transform the data using SQL or dbt, no custom scripts required.
Your own tables, picked when you set up the sync.
- Extract
- Load
- Keep in sync
- amazon_mws.Synced
- amazon_mws.Syncing
- amazon_mws.Synced
- amazon_mws.Synced
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How to set up Amazon MWS to Apache Iceberg in Weld.
In the app, with the API or an agent.
Why sync Amazon MWS to Apache Iceberg?
Ready for analysis.
Centralizing your Amazon MWS 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 Amazon MWS data directly in Apache Iceberg using SQL or your preferred BI tool.
Revenue and order analytics
Track orders, products, and customer behavior from Amazon MWS in Apache Iceberg. Build cohort analyses, LTV models, and inventory forecasting.
Centralized data warehouse
Bring Amazon MWS 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 Amazon MWS to Apache Iceberg. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
From Amazon MWS to Apache Iceberg.
Weld syncs the objects the Amazon MWS connector exposes into Apache Iceberg, and you choose which tables and fields to include. The connector's docs list what is available.
Ask your agent.
It queries Apache Iceberg for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Amazon MWS context, finds the tables it needs and runs the query in Apache Iceberg.
Which Amazon MWS tables do we have in Apache Iceberg, and which is the largest?
Looking up what Weld has synced from Amazon MWS.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Amazon MWS API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Amazon MWS 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.
Keep reading.
Guides, docs and schema.
Amazon MWS setup guide
How to connect Amazon MWS to Weld, step by step.
DocumentationApache Iceberg setup guide
How to connect Apache Iceberg to Weld, step by step.
ConnectorAmazon MWS connector
Everything Weld does with Amazon MWS.
ConnectorApache Iceberg connector
Everything Weld does with Apache Iceberg.
Common questions.
About Amazon MWS to Apache Iceberg.
Start syncing Amazon MWS to Apache Iceberg.
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