Stream data from Amazon Aurora for MySQL to Amazon S3 Parquet
Sync your Amazon Aurora for MySQL data with Amazon S3 Parquet in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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Amazon Aurora for MySQL connector details
Optimized for cloud-native databases, the Estuary MySQL connector for Amazon Aurora streams real-time change data using Change Data Capture (CDC) via the binary log. Once configured with the proper Aurora parameter group and permissions, it captures inserts, updates, and deletes from your Aurora MySQL cluster directly into Flow collections. With support for secure SSH tunneling, read replicas, and automatic backfill, it ensures reliable, low-latency synchronization from Aurora to downstream systems.
- Continuous CDC streaming from Amazon Aurora MySQL
- Requires binlog_format=ROW and 7-day retention for reliability
- Compatible with Aurora read replicas
- Supports secure access via SSH tunneling or IP allowlisting
- Simplifies real-time ingestion to any connected destination

Amazon S3 Parquet 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 Aurora for MySQL with Amazon S3 Parquet in 3 simple steps using Estuary Flow
Connect Amazon Aurora for MySQL as Your Real-Time Data Source
Set up a real-time source connector for Amazon Aurora for MySQL in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Amazon S3 Parquet as Your Target
Choose Amazon S3 Parquet 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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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Amazon Aurora for MySQL connector.
- Enter Details: Add your Amazon Aurora for MySQL connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Amazon Aurora for MySQL capture, and publish.
What is Amazon Aurora for MySQL?
How do I Transfer Data from Amazon Aurora for MySQL?
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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