Stream data from Amazon S3 to Amazon RDS for SQL Server
Sync your Amazon S3 data with Amazon RDS for SQL Server in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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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

Amazon RDS for SQL Server connector details
- Merge-based materializations to sync only what's changed
- Low-latency delivery from streaming and batch sources
- Automatic schema alignment so your destination matches your pipeline's evolving data
- Flexible deployment models, including BYOC and hybrid for enterprise governance
- Unified streaming + batch outputs in a single tool
- End-to-end security and compliance for sensitive data workloads
How to integrate Amazon S3 with Amazon RDS for SQL Server in 3 simple steps using Estuary Flow
Connect Amazon S3 as Your Real-Time Data Source
Set up a real-time source connector for Amazon S3 in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Amazon RDS for SQL Server as Your Target
Choose Amazon RDS for SQL Server as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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With Flow companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Flow decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
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Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Flow's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.
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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Amazon S3 connector.
- Enter Details: Add your Amazon S3 connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Amazon S3 capture, and publish.
What is Amazon S3?
How do I Transfer Data from Amazon S3?
What are the pricing options for Estuary Flow?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Flow's rich CLI.
