Apache Iceberg to Amazon S3 integration
Replicate your Apache Iceberg data into Amazon S3 with Weld. Automatically replicate the tables you choose from Apache Iceberg into Amazon S3, 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
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Why replicate Apache Iceberg to Amazon S3?
Ready for analysis.
Centralizing your Apache Iceberg 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 Apache Iceberg data directly in Amazon S3 using SQL or your preferred BI tool.
Consolidate data from Apache Iceberg alongside other databases and applications in a single cloud data warehouse for a unified analytical layer.
Database replication for analytics
Replicate your Apache Iceberg production data to Amazon S3 without impacting database performance. Query historical data without load on your primary database.
Centralized data warehouse
Bring Apache Iceberg 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 Apache Iceberg to Amazon S3. Connect BI tools like Looker, Metabase, or Power BI.
What data can you replicate?
From Apache Iceberg to Amazon S3.
Weld syncs the objects the Apache Iceberg connector exposes into Amazon S3, and you choose which tables and fields to include. The connector's docs list what is available.
Ask your agent.
It queries Amazon S3 for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Apache Iceberg context, finds the tables it needs and runs the query in Amazon S3.
Which Apache Iceberg tables do we have in Amazon S3, and which is the largest?
Looking up what Weld has synced from Apache Iceberg.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Apache Iceberg API, loading only new and updated records to minimize data transfer and warehouse costs.
- Change data capture
- For Apache Iceberg, 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 Apache Iceberg 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.
Common questions.
About Apache Iceberg to Amazon S3.
Start syncing Apache Iceberg to Amazon S3.
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