Medusa to Apache Iceberg integration
Connect Medusa to Apache Iceberg and automatically sync your ecommerce platform data. Weld extracts data from Medusa, 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
- medusa.Synced
- medusa.Syncing
- medusa.Synced
- medusa.Synced
Trusted by data and AI teams
How to set up Medusa to Apache Iceberg in Weld.
In the app, with the API or an agent.
Why sync Medusa to Apache Iceberg?
Ready for analysis.
Centralizing your Medusa 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 Medusa data directly in Apache Iceberg using SQL or your preferred BI tool.
Revenue and order analytics
Track orders, products, and customer behavior from Medusa in Apache Iceberg. Build cohort analyses, LTV models, and inventory forecasting.
Centralized data warehouse
Bring Medusa 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 Medusa to Apache Iceberg. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
From Medusa to Apache Iceberg.
Weld syncs the objects the Medusa 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 Medusa context, finds the tables it needs and runs the query in Apache Iceberg.
Which Medusa tables do we have in Apache Iceberg, and which is the largest?
Looking up what Weld has synced from Medusa.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Medusa API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Medusa 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.
Common questions.
About Medusa to Apache Iceberg.
Start syncing Medusa to Apache Iceberg.
Set up your Medusa data pipeline in minutes. No credit card required. Free for 14 days.