

Move your data from Amazon S3 with your free account
Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT



Amazon S3 connector details
Estuary’s Amazon S3 connector captures and processes data from your S3 buckets or prefixes, automatically converting files into Flow 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
Connect Amazon S3 as your data source
Securely connect Amazon S3 and choose the objects, tables, or collections you need to sync.
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
Sync to your destination
Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.
Learn more with some related videos
Dive deeper into Amazon S3 with tutorials and walkthroughs from our YouTube channel.
![Stream Data to Apache Iceberg with Estuary Flow video thumbnail]()
Stream Data to Apache Iceberg with Estuary Flow
Learn about the Apache Iceberg table format, why it’s essential for organizing your data lake, and how to load data into Iceberg using Estuary Flow. We’ll cover a brief intro to Iceberg before demoing the connector setup with Estuary, Amazon S3, and AWS Glue for real-time and batch data integration.
![Streaming Data Lakehouse Tutorial: MongoDB to Apache Iceberg video thumbnail]()
Streaming Data Lakehouse Tutorial: MongoDB to Apache Iceberg
Learn how to connect MongoDB to Apache Iceberg in Iceberg table format using Estuary Flow. In this step-by-step demo, we show you how to:
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
Read success storyGlossier
Glossier Runs Real-Time Supply Chain and Marketing Analytics with Estuary
Read success storyCurri
How Curri Cut Data Sync Costs by 50% and Achieved Real-Time Analytics with Estuary
Read success storyXometry
Xometry Saves 60% on Data Integration with a Secure Estuary Private Deployment
Read success storyHayden AI
From Postgres to Analytics: How Hayden AI Powers Data Movement with Estuary


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 from Amazon S3 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 insights always reflect the latest data by connecting your databases to Amazon S3 with change data capture.
- Or connect critical SaaS apps to Amazon S3 with real-time data pipelines.
Don't see a connector?Request and our team will get back to you in 24 hours
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 | ||||
| Maintenance Effort | Low | Medium | High | High |

Deliver real-time and batch data from DBs, SaaS, APIs, and more

Popular sources/destinations you can sync your data with
Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.
![Apache Iceberg Logo]()
Apache Iceberg
![Databricks Logo]()
Databricks
![MotherDuck Logo]()
MotherDuck
![MySQL Logo]()
MySQL
![Amazon Redshift Logo]()
Amazon Redshift
![PostgreSQL Logo]()
PostgreSQL
![Snowflake Logo]()
Snowflake
![Elastic Logo]()
Elastic
![Google Bigquery Logo]()
Google Bigquery
![SingleStore Logo]()
SingleStore
![Supabase Logo]()
Supabase
![Azure Blob Storage Parquet Logo]()
Azure Blob Storage Parquet
![RisingWave Logo]()
RisingWave
![Materialize Logo]()
Materialize
![Imply Polaris Logo]()
Imply Polaris
![ClickHouse Logo]()
ClickHouse
![Bytewax Logo]()
Bytewax
![SingleStore Dekaf Logo]()
SingleStore Dekaf
![StarTree Logo]()
StarTree
![CrateDB (Beta) Logo]()
CrateDB (Beta)
![Tinybird Logo]()
Tinybird
![Azure Fabric Warehouse Logo]()
Azure Fabric Warehouse
![Dekaf Logo]()
Dekaf
![Apache Kafka Logo]()
Apache Kafka
![Amazon S3 Iceberg (delta updates) Logo]()
Amazon S3 Iceberg (delta updates)
![Google Cloud Storage CSV Logo]()
Google Cloud Storage CSV
![Google GCS Parquet Logo]()
Google GCS Parquet
![Amazon S3 CSV Logo]()
Amazon S3 CSV
![Starburst Galaxy (Beta) Logo]()
Starburst Galaxy (Beta)
![Amazon RDS for PostgreSQL Logo]()
Amazon RDS for PostgreSQL
![Amazon RDS for MariaDB Logo]()
Amazon RDS for MariaDB
![Amazon RDS for SQL Server Logo]()
Amazon RDS for SQL Server
![Amazon RDS for MySQL Logo]()
Amazon RDS for MySQL
![Google Cloud SQL for SQL Server Logo]()
Google Cloud SQL for SQL Server
![Google Cloud SQL for PostgreSQL Logo]()
Google Cloud SQL for PostgreSQL
![Google Cloud SQL for MySQL Logo]()
Google Cloud SQL for MySQL
![Oracle MySQL Heatwave Logo]()
Oracle MySQL Heatwave
![Amazon Aurora for MySQL Logo]()
Amazon Aurora for MySQL
![MariaDB Logo]()
MariaDB
![Amazon DynamoDB Logo]()
Amazon DynamoDB
![SQL Server Logo]()
SQL Server
![HTTP Webhook Logo]()
HTTP Webhook
![Pinecone Logo]()
Pinecone
![Slack Logo]()
Slack
![Azure Cosmos DB Logo]()
Azure Cosmos DB
![Amazon Aurora for Postgres Logo]()
Amazon Aurora for Postgres
![SQLite Logo]()
SQLite
![MongoDB Logo]()
MongoDB
![Alloy DB for Postgres Logo]()
Alloy DB for Postgres
![Timescale Logo]()
Timescale
![Google PubSub Logo]()
Google PubSub
![Google Sheets Logo]()
Google Sheets
![Firebolt Logo]()
Firebolt
![Amazon S3 Parquet Logo]()
Amazon S3 Parquet


























































