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Amazon S3 Iceberg (delta updates) connector details
This connector materializes Flow collections into Apache Iceberg tables stored in Amazon S3. It batches delta updates inside Flow, converts them to Parquet files, and appends them to Iceberg tables on a schedule you configure, making it efficient for near real-time CDC-style updates.
- Materializes Flow collections into Iceberg tables on Amazon S3
- Designed for delta updates, enabling low-latency CDC replication
- Compatible with AWS Glue or Iceberg REST Catalogs for metadata management
- Configurable upload intervals to balance freshness and cost
- Supports Iceberg V2 column types for flexible schema handling
HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.
DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.
REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes to Amazon S3 Iceberg (delta updates) in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your Amazon S3 Iceberg (delta updates) insights always reflect the latest data by connecting your databases to Amazon S3 Iceberg (delta updates) with change data capture.
- Or connect critical SaaS apps to Amazon S3 Iceberg (delta updates) with real-time data pipelines.
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |
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