Move your data from Amazon Aurora for MySQL with your free account
Capture data from Amazon Aurora for MySQL 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 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 Estuary 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
How to connect Amazon Aurora for MySQL to your destination in 3 easy steps
- 1
Connect Amazon Aurora for MySQL as your data source
Securely connect Amazon Aurora for MySQL 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.
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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 Aurora for MySQL using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect Amazon Aurora for MySQL to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse Amazon Aurora for MySQL data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send Amazon Aurora for MySQL 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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