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Database

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

Keep Amazon Lightsail 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 Lightsail and AWS Aurora MySQL

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

Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.

Stacksync syncs tables or collections between Amazon Lightsail 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 Sync a Lightsail-hosted application database with a CRM so customer records match what the app stores.
  • 02 Push cleaned or enriched records from central systems back into the Lightsail database behind a small web app.
  • 03 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
  • 04 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.

Common sync patterns

Cross-engine sync

Keep the same dataset live in both Amazon Lightsail and AWS Aurora MySQL, so each workload runs on the engine that suits it.

Migration with zero-downtime cutover

When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.

Shared reference data between services

Services that own separate databases stay consistent on the records they share, without a custom replication layer.

What you can sync between Amazon Lightsail 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 Lightsail objects AWS Aurora MySQL objects How this pairing syncs
Tables Relational tables read from and written to at row level. 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 Query-backed read-only sources. 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.
Schemas Namespaces used when selecting tables to sync. Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Schemas is specific to Amazon Lightsail and Stored procedures and triggers to AWS Aurora MySQL — each maps to any object or custom field on the other side.
Users and Grants Database accounts used to give the sync connection scoped access. Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Users and Grants is specific to Amazon Lightsail and Databases (schemas) to AWS Aurora MySQL — each maps to any object or custom field on the other side.
Managed Databases Lightsail-hosted MySQL or PostgreSQL instances that a sync connects to as standard databases. Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Managed Databases is specific to Amazon Lightsail and Rows to AWS Aurora MySQL — each maps to any object or custom field on the other side.
Databases Logical databases on the instance that scope a connection. Columns MySQL data types are mapped to the paired system's field types during schema setup. Databases is specific to Amazon Lightsail and Columns to AWS Aurora MySQL — each maps to any object or custom field on the other side.

How changes propagate between Amazon Lightsail 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 Lightsail AWS Aurora MySQL Interval-based propagation

DetectionStacksync polls Amazon Lightsail for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or key columns.

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 Lightsail 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 Lightsail as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Lightsail: No API-style rate limits; capacity is fixed by the chosen Lightsail bundle.
What ships with Amazon Lightsail ⇄ AWS Aurora MySQL

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

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

Real-time

Two-way sync

Changes in Amazon Lightsail 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 Lightsail 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 Lightsail or AWS Aurora MySQL record.

Observability

Monitoring

Track your Amazon Lightsail ⇄ 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 Lightsail and AWS Aurora MySQL.

How the Amazon Lightsail and AWS Aurora MySQL connectors work

Amazon Lightsail

Integration surface
MySQL or PostgreSQL wire protocol (SQL) to the managed database endpoint
Authentication
Database credentials; public endpoint access must be enabled or a tunnel used
Change detection
Polling on timestamp or key columns; log-based CDC depends on engine parameter access, which is more limited than on full RDS
Capabilities
read · write
Rate limits
No API-style rate limits; capacity is fixed by the chosen Lightsail bundle

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 Lightsail 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 Lightsail 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 Lightsail connected
    AWS Aurora MySQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Lightsail 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 Lightsail ⇄ 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 Lightsail AWS Aurora MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Lightsail 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 381 integrations available for Amazon Lightsail and AWS Aurora MySQL.

Popular · 4 of 381
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