Stream into Amazon RDS for MySQL with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Amazon RDS 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 RDS for MySQL connector details
The Amazon RDS for MySQL materialization connector streams data from Estuary collections into MySQL tables hosted on Amazon RDS, enabling continuous synchronization between Estuary and your managed MySQL environment.
- Supported versions: MySQL 5.7 and later
- Deployment flexibility: Connect directly or through SSH tunneling for secure private access
- Delta or standard updates: Choose between merge or delta modes for efficient data writes
- Timezone control: Supports both IANA timezone names and numeric UTC offsets for consistent datetime materialization
- Full SSL support: Configure SSL modes including verify_ca and verify_identity for secure communication
- Automatic table creation: The connector creates or updates MySQL tables as Estuary collections change
- Enterprise ready: Works seamlessly within Private or BYOC deployments for compliance and governance
💡 Tip: Use this connector to stream real-time analytics or transactional data into RDS MySQL for dashboards, reporting, or downstream applications.
How to connect your data source to Amazon RDS 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 RDS 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 RDS 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 RDS for MySQL through Estuary.
- Transform and route data through Estuary collections before delivering it to Amazon RDS for MySQL.
See what you can connect to Amazon RDS 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 |
One platform for real-time and batch data pipelines
Deliver real-time and batch data from DBs, SaaS, APIs, and more
