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Database ⇄ Data warehouse

Amazon Lightsail to Google Cloud Platform integration — real-time, two-way sync

Keep Amazon Lightsail and Google Cloud Platform in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

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Why teams connect Amazon Lightsail and Google Cloud Platform

Connect Amazon Lightsail and Google Cloud Platform with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want Amazon Lightsail's rows in Google Cloud Platform, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Amazon Lightsail where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in Amazon Lightsail sync into Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into Amazon Lightsail, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Publish change events to Pub/Sub so downstream services react to record updates as they happen.
  • 02 Sync a Lightsail-hosted application database with a CRM so customer records match what the app stores.
  • 03 Push cleaned or enriched records from central systems back into the Lightsail database behind a small web app.

Common sync patterns

Offload heavy reads

Point analytical queries at the synced copy in Google Cloud Platform and keep Amazon Lightsail focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from Amazon Lightsail land in Google Cloud Platform as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Google Cloud Platform sync into Amazon Lightsail, where whatever reads from that database gets them without querying the warehouse.

What you can sync between Amazon Lightsail and Google Cloud Platform

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 Google Cloud Platform objects How this pairing syncs
Tables Relational tables read from and written to at row level. BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Tables is specific to Amazon Lightsail and BigQuery tables to Google Cloud Platform — each maps to any object or custom field on the other side.
Views Query-backed read-only sources. Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Views is specific to Amazon Lightsail and Cloud SQL databases to Google Cloud Platform — 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. Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Users and Grants is specific to Amazon Lightsail and Cloud Storage objects to Google Cloud Platform — 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. Pub/Sub topics Event streams used to move change events between systems in near real time. Managed Databases is specific to Amazon Lightsail and Pub/Sub topics to Google Cloud Platform — each maps to any object or custom field on the other side.
Databases Logical databases on the instance that scope a connection. Firestore documents Document data read and written through the Firestore API for app-facing syncs. Databases is specific to Amazon Lightsail and Firestore documents to Google Cloud Platform — each maps to any object or custom field on the other side.
Schemas Namespaces used when selecting tables to sync. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Schemas is specific to Amazon Lightsail and Spanner tables to Google Cloud Platform — each maps to any object or custom field on the other side.

How changes propagate between Amazon Lightsail and Google Cloud Platform

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 Google Cloud Platform 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 Google Cloud Platform as a row-level write, with types converted between the two schemas.

Google Cloud Platform Amazon Lightsail Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

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.
  • Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with Amazon Lightsail ⇄ Google Cloud Platform

Connect Amazon Lightsail and Google Cloud Platform for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Lightsail or Google Cloud Platform 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 Google Cloud Platform record.

Observability

Monitoring

Track your Amazon Lightsail ⇄ Google Cloud Platform 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 Google Cloud Platform.

How the Amazon Lightsail and Google Cloud Platform 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

Google Cloud Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works

How to connect Amazon Lightsail to Google Cloud Platform — 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 Google Cloud Platform 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
    Google Cloud Platform connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Amazon Lightsail and Google Cloud Platform 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.

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:

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Your last integration took months.
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