
Move your data from Amazon S3 with your free account
Capture data from Amazon S3 and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines



Amazon S3 connector details
Estuary’s Amazon S3 connector captures and processes data from your S3 buckets or prefixes, automatically converting files into Estuary collections for downstream analytics and integration. It supports incremental ingestion of new or updated objects and automatically detects multiple data formats for flexible file-based pipelines.
- Continuously ingests data from S3 buckets or specific prefixes
- Supports CSV, JSON, Avro, and other formats with automatic schema detection
- Enables incremental syncs using lexicographic key ordering for efficiency
- Securely connects using AWS IAM roles or access keys
- Backed by Estuary’s private deployment and VPC security options for controlled access
How to connect Amazon S3 to your destination in 3 easy steps
- 1
Connect Amazon S3 as your data source
Securely connect Amazon S3 and choose the objects, tables, or collections you need to sync.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
Learn more with some related videos
Dive deeper into Amazon S3 with tutorials and walkthroughs from our YouTube channel.
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Streaming Data Lakehouse Tutorial: MongoDB to Apache Iceberg
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All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Amazon S3 using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect Amazon S3 to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse Amazon S3 data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send Amazon S3 data:
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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 | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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