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Amazon S3 CSV connector details
The Amazon S3 CSV connector exports Flow collection data as compressed CSV files into your S3 bucket, offering a reliable and scalable way to persist real-time updates in an analytics-friendly format.
- Delta-based materialization: Writes only changed records (delta updates) from Flow collections as CSV files, efficiently keeping your data lake up to date.
- Configurable batching: Aggregates changes in Flow and uploads them to S3 at a defined interval, with support for custom file size limits.
- Flexible authentication: Supports both AWS access keys and IAM roles for secure access management.
- Structured file naming: Automatically organizes files with versioned, lexically sortable naming for easy tracking and replay.
- Customizable storage paths: Lets you define prefixes and per-collection paths for better data organization.
- Compatible and extensible: Can also connect to S3-compatible APIs using a custom endpoint if needed.
💡 Tip: Use shorter upload intervals for near-real-time analytics, or increase them to reduce storage and API costs when dealing with large batch updates.


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 CSV 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 CSV insights always reflect the latest data by connecting your databases to Amazon S3 CSV with change data capture.
- Or connect critical SaaS apps to Amazon S3 CSV 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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