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Amazon RDS to AWS Aurora MySQL integration — real-time, two-way sync

Keep Amazon RDS and AWS Aurora MySQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Amazon RDS and AWS Aurora MySQL

Keep Amazon RDS and AWS Aurora MySQL synchronized in real time, across engines, regions, or services, in one or both directions.

Teams sync Amazon RDS with AWS Aurora MySQL to keep two relational databases consistent — typically an application database and a reporting or migration target. Tables, Rows, and Columns replicate between the engines, with Primary keys and indexes preserved so both sides stay queryable and consistent.

Stacksync syncs tables or collections between Amazon RDS and AWS Aurora MySQL continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.

Common use cases

  • 01 Keep a legacy RDS instance and a new Aurora MySQL cluster consistent during a phased migration.
  • 02 Isolate analytics workloads on Aurora MySQL while writes continue on RDS.
  • 03 Replicate specific Schemas between environments while preserving Primary and Unique Keys.
  • 04 Mirror SaaS objects into RDS tables so product features can join business data with application data in one query

Common sync patterns

Cross-database replication

RDS Tables and their Rows stay synchronized with Aurora MySQL Tables in both directions.

Migration staging

Databases and Schemas from RDS mirror into Aurora MySQL so cutover can be validated against live data.

Read-path offload

Views in Aurora MySQL serve reporting queries from data replicated out of the RDS primary.

What you can sync between Amazon RDS and AWS Aurora MySQL

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Amazon RDS objects AWS Aurora MySQL objects How this pairing syncs
Tables The core sync target; rows map to records in connected SaaS systems. Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Read-side projections exposed to outbound syncs. Views Can serve as read-only sync sources for derived or filtered datasets. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Columns Field-level mapping targets, typed per the underlying engine. Columns MySQL data types are mapped to the paired system's field types during schema setup. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Primary and Unique Keys Match keys for idempotent upserts. Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Primary and Unique Keys is specific to Amazon RDS and Foreign keys to AWS Aurora MySQL — each maps to any object or custom field on the other side.
Read Replicas Low-impact read endpoints often used as the source side of a sync. Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Read Replicas is specific to Amazon RDS and Stored procedures and triggers to AWS Aurora MySQL — each maps to any object or custom field on the other side.
Stored Procedures Engine-specific logic that can react to synced rows. Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Stored Procedures is specific to Amazon RDS and Databases (schemas) to AWS Aurora MySQL — each maps to any object or custom field on the other side.

How changes propagate between Amazon RDS and AWS Aurora MySQL

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Amazon RDS AWS Aurora MySQL Sub-second propagation

DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.

DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

AWS Aurora MySQL Amazon RDS Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

DeliveryEach detected change is applied to Amazon RDS as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon RDS: No API rate limits; throughput depends on instance class, storage IOPS, and connection limits.
What ships with Amazon RDS ⇄ AWS Aurora MySQL

Connect Amazon RDS and AWS Aurora MySQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–AWS Aurora MySQL connection.

Real-time

Two-way sync

Changes in Amazon RDS or AWS Aurora MySQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon RDS or AWS Aurora MySQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Amazon RDS or AWS Aurora MySQL record.

Observability

Monitoring

Track your Amazon RDS ⇄ AWS Aurora MySQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon RDS and AWS Aurora MySQL.

How the Amazon RDS and AWS Aurora MySQL connectors work

Amazon RDS

Integration surface
SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)
Authentication
Database credentials over SSL/TLS, or IAM database authentication on supported engines
Change detection
Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance class, storage IOPS, and connection limits

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC
How it works

How to connect Amazon RDS to AWS Aurora MySQL — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Amazon RDS and AWS Aurora MySQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon RDS connected
    AWS Aurora MySQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon RDS and AWS Aurora MySQL objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon RDS ⇄ AWS Aurora MySQL
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon RDS AWS Aurora MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon RDS and AWS Aurora MySQL integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 398 integrations available for Amazon RDS and AWS Aurora MySQL.

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