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Database

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

Keep Amazon Aurora and Amazon Lightsail 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 Aurora and Amazon Lightsail

Keep Amazon Aurora and Amazon Lightsail 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 Aurora and Amazon Lightsail 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 Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.
  • 02 Consolidate several Aurora clusters into one reporting database.
  • 03 Migrate data continuously from a Lightsail database to a larger managed database as an application outgrows the VPS tier.
  • 04 Sync a Lightsail-hosted application database with a CRM so customer records match what the app stores.

Common sync patterns

Shared reference data between services

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

Regional or environment copies

Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.

Cross-engine sync

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

What you can sync between Amazon Aurora and Amazon Lightsail

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 Aurora objects Amazon Lightsail objects How this pairing syncs
Databases Logical databases within a cluster that scope a sync connection. Databases Logical databases on the instance that scope a connection. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Schemas Namespaces used when selecting tables to sync. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Tables Relational tables synced bi-directionally at row level. Tables Relational tables read from and written to at row level. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Read-only query-backed sources for downstream syncs. Views Query-backed read-only sources. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Users and Grants Database accounts used to give the sync connection scoped access. Read Replicas is specific to Amazon Aurora and Users and Grants to Amazon Lightsail — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Managed Databases Lightsail-hosted MySQL or PostgreSQL instances that a sync connects to as standard databases. Materialized Views is specific to Amazon Aurora and Managed Databases to Amazon Lightsail — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and Amazon Lightsail

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 Aurora Amazon Lightsail Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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

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

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • Amazon Lightsail: No API-style rate limits; capacity is fixed by the chosen Lightsail bundle.
What ships with Amazon Aurora ⇄ Amazon Lightsail

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Amazon Lightsail 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 Aurora or Amazon Lightsail record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Amazon Lightsail.

How the Amazon Aurora and Amazon Lightsail connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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
How it works

How to connect Amazon Aurora to Amazon Lightsail — 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 Aurora and Amazon Lightsail 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 Aurora connected
    Amazon Lightsail connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Amazon Aurora and Amazon Lightsail 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 367 integrations available for Amazon Aurora and Amazon Lightsail.

Popular · 3 of 367
All Amazon Aurora integrations All Amazon Lightsail integrations Browse all integrations
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