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

Keep Amazon RDS and 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 MySQL

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

Syncing Amazon RDS with MySQL keeps managed and self-hosted relational databases aligned. Tables, Columns, and Views replicate between the two, which supports migrations to RDS and hybrid setups where both engines stay live.

Stacksync syncs tables or collections between Amazon RDS and 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 Migrate a self-hosted MySQL database to RDS while both sides stay writable during the transition.
  • 02 Serve regional read replicas from MySQL while RDS holds the primary Tables.
  • 03 Preserve Primary and Unique Keys and Views across both databases in a hybrid deployment.
  • 04 Bi-directional sync between an RDS database and a CRM so application data and sales data stay consistent without custom integration code

Common sync patterns

Continuous replication

MySQL Tables and Columns stay synchronized with RDS Databases and Schemas.

Migration cutover

data moves from self-hosted MySQL to RDS with both sides writable during transition.

JSON column sync

MySQL JSON Columns replicate into RDS Tables alongside standard types.

What you can sync between Amazon RDS and 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 MySQL objects How this pairing syncs
Tables The core sync target; rows map to records in connected SaaS systems. Tables The primary sync target; rows map to records in connected systems. 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 Read-side projections used as outbound sync sources. 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 Field-level mapping targets with engine-typed values. 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. Primary and Unique Keys Match keys for idempotent upserts and conflict handling. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Read Replicas Low-impact read endpoints often used as the source side of a sync. Triggers An alternative change-capture mechanism when binlog access is unavailable. Read Replicas is specific to Amazon RDS and Triggers to 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) Top-level namespaces that scope a sync's reads and writes. Stored Procedures is specific to Amazon RDS and Databases (Schemas) to MySQL — each maps to any object or custom field on the other side.

How changes propagate between Amazon RDS and 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 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 MySQL as a row-level write, with types converted between the two schemas.

MySQL Amazon RDS Sub-second propagation

DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.

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.
  • MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with Amazon RDS ⇄ MySQL

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

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

Real-time

Two-way sync

Changes in Amazon RDS or 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 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 MySQL record.

Observability

Monitoring

Track your Amazon RDS ⇄ 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 MySQL.

How the Amazon RDS and 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

MySQL

Integration surface
SQL wire protocol (MySQL client/server protocol)
Authentication
Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide
How it works

How to connect Amazon RDS to 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 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
    MySQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon RDS and 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 ⇄ 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 MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon RDS and 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 494 integrations available for Amazon RDS and MySQL.

Popular · 6 of 494
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