Amazon Aurora MySQL to Apache Iceberg integration
Replicate your Amazon Aurora MySQL data into Apache Iceberg with Weld. Automatically replicate the tables you choose from Amazon Aurora MySQL into Apache Iceberg, keeping your analytics layer up to date and ready for querying.
Your own tables, picked when you set up the sync.
- Extract
- Load
- Keep in sync
- amazon_aurora_mysql.Synced
- amazon_aurora_mysql.Syncing
- amazon_aurora_mysql.Synced
- amazon_aurora_mysql.Synced
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How to set up Amazon Aurora MySQL to Apache Iceberg in Weld.
In the app, with the API or an agent.
Why replicate Amazon Aurora MySQL to Apache Iceberg?
Ready for analysis.
Centralizing your Amazon Aurora MySQL 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 Aurora MySQL data directly in Apache Iceberg using SQL or your preferred BI tool.
Consolidate data from Amazon Aurora MySQL alongside other databases and applications in a single database for a unified analytical layer.
Database replication for analytics
Replicate your Amazon Aurora MySQL production data to Apache Iceberg without impacting database performance. Query historical data without load on your primary database.
Centralized data warehouse
Bring Amazon Aurora MySQL 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 Aurora MySQL to Apache Iceberg. Connect BI tools like Looker, Metabase, or Power BI.
What data can you replicate?
From Amazon Aurora MySQL to Apache Iceberg.
Weld syncs the objects the Amazon Aurora MySQL 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 Aurora MySQL context, finds the tables it needs and runs the query in Apache Iceberg.
Which Amazon Aurora MySQL tables do we have in Apache Iceberg, and which is the largest?
Looking up what Weld has synced from Amazon Aurora MySQL.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Amazon Aurora MySQL API, loading only new and updated records to minimize data transfer and warehouse costs.
- Change data capture
- For Amazon Aurora MySQL, Weld can use log-based replication (CDC) to capture inserts, updates, and deletes without querying the entire table on every sync.
- Schema handling
- Weld automatically manages schema changes. If Amazon Aurora MySQL 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 Aurora MySQL setup guide
How to connect Amazon Aurora MySQL to Weld, step by step.
DocumentationApache Iceberg setup guide
How to connect Apache Iceberg to Weld, step by step.
ConnectorAmazon Aurora MySQL connector
Everything Weld does with Amazon Aurora MySQL.
ConnectorApache Iceberg connector
Everything Weld does with Apache Iceberg.
Common questions.
About Amazon Aurora MySQL to Apache Iceberg.
Start syncing Amazon Aurora MySQL to Apache Iceberg.
Set up your Amazon Aurora MySQL data pipeline in minutes. No credit card required. Free for 14 days.