Stream into Amazon Aurora for MySQL with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Amazon Aurora for MySQL using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
Amazon Aurora for MySQL connector details
The Amazon Aurora for MySQL materialization connector in Estuary delivers data from Estuary collections into tables in an Amazon Aurora MySQL-compatible database. It supports continuous materialization from real-time or batch pipelines, with standard merge-based updates by default and optional delta updates for applicable workloads.
- Materializes Estuary collections directly into Amazon Aurora for MySQL tables
- Standard merge-based updates by default to keep existing rows synchronized
- Optional delta updates for workloads where changes should be applied incrementally rather than merged
- Automatic table creation for tables managed by the connector
- Secure direct connectivity or SSH tunneling for Aurora instances running inside AWS networks
- Configurable SSL modes, including certificate and hostname verification
- Automatic UTC handling for date-time fields, with configurable timezone behavior when needed
- Support for custom SQL after table creation for additional table configuration
To connect Estuary directly to Amazon Aurora for MySQL, configure the Aurora VPC security group to allow Estuary’s IP addresses, or use an SSH tunnel for private connectivity. The MySQL local_infile setting must also be enabled for the connector.
How to connect your data source to Amazon Aurora for MySQL in 3 easy steps
- 1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
- 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
Sync to Amazon Aurora for MySQL
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
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.
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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. Bring data from databases, SaaS apps, APIs, files, and event streams into Amazon Aurora for MySQL, with capture and delivery cadence based on connector capabilities and pipeline configuration.
- Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Amazon Aurora for MySQL through Estuary.
- Transform and route data through Estuary collections before delivering it to Amazon Aurora for MySQL.
See what you can connect to Amazon Aurora for MySQL:
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 | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| 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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