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Database ⇄ ERP

Google Cloud SQL to Linnworks integration — real-time, two-way sync

Keep Google Cloud SQL and Linnworks 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 Google Cloud SQL and Linnworks

Give your engineers Linnworks's data in Google Cloud SQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors Stock Items, Stock Levels, Locations, Purchase Orders from Linnworks into Google Cloud SQL and keeps both sides consistent in real time. Whatever Linnworks is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Google Cloud SQL sync back into Linnworks with its validations respected.

Common use cases

  • 01 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 02 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 03 Sync orders from Linnworks into an ERP or accounting system as they are processed, without CSV exports
  • 04 Keep stock levels consistent between Linnworks and external systems so multichannel listings stay aligned with sellable stock

Common sync patterns

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Linnworks interface, limits, and retries.

React to ERP changes

Updates in Linnworks arrive as row changes in Google Cloud SQL, so jobs and triggers can respond as the business record changes.

Where Linnworks is the HR system of record: people data for internal systems

Worker and org records stay current in Google Cloud SQL for provisioning, access, and reporting systems that read from the database.

What you can sync between Google Cloud SQL and Linnworks

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.

Google Cloud SQL objects Linnworks objects How this pairing syncs
Rows Read and written by primary key during each sync cycle. Purchase Orders Replenishment POs sync with suppliers and accounting systems. Rows is specific to Google Cloud SQL and Purchase Orders to Linnworks — each maps to any object or custom field on the other side.
Views Read-only sources for shaping data before syncing it out. Suppliers Vendor records keep procurement data consistent across tools. Views is specific to Google Cloud SQL and Suppliers to Linnworks — each maps to any object or custom field on the other side.
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Channel Listings Marketplace and webstore listing mappings tie channel products to internal SKUs. Transaction logs is specific to Google Cloud SQL and Channel Listings to Linnworks — each maps to any object or custom field on the other side.
Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Returns & Refunds Post-sale records flow to finance and support systems. Instances is specific to Google Cloud SQL and Returns & Refunds to Linnworks — each maps to any object or custom field on the other side.
Databases Scope the tables included in a sync configuration. Shipping Services Carrier and service definitions support label and tracking data in order syncs. Databases is specific to Google Cloud SQL and Shipping Services to Linnworks — each maps to any object or custom field on the other side.
Schemas Namespace tables in PostgreSQL and SQL Server instances. Open Orders Unshipped orders aggregated from sales channels sync into ERPs and fulfillment systems. Schemas is specific to Google Cloud SQL and Open Orders to Linnworks — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL and Linnworks

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.

Google Cloud SQL Linnworks Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

DeliveryEach detected change is written to Linnworks through its API, with automatic retries and rate-limit backoff.

Linnworks Google Cloud SQL Interval-based propagation

DetectionStacksync polls Linnworks for changes on an incremental schedule, reading only records changed since the previous pass. Polling on order and stock endpoints.

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

Rate-limit considerations

  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
  • Linnworks: Per-endpoint rate limits apply on the Linnworks API.
What ships with Google Cloud SQL ⇄ Linnworks

Connect Google Cloud SQL and Linnworks for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Linnworks connection.

Real-time

Two-way sync

Changes in Google Cloud SQL or Linnworks instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud SQL or Linnworks 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 Google Cloud SQL or Linnworks record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ Linnworks sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Cloud SQL and Linnworks.

How the Google Cloud SQL and Linnworks connectors work

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.

Linnworks

Integration surface
REST API
Authentication
Application credentials and an install token exchanged for a session token
Change detection
Polling on order and stock endpoints
Capabilities
read · write
Rate limits
Per-endpoint rate limits apply on the Linnworks API
How it works

How to connect Google Cloud SQL to Linnworks — 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 Google Cloud SQL and Linnworks 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
    Google Cloud SQL connected
    Linnworks connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud SQL and Linnworks 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 · Google Cloud SQL ⇄ Linnworks
    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
    Google Cloud SQL Linnworks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud SQL and Linnworks 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 433 integrations available for Google Cloud SQL and Linnworks.

Popular · 7 of 433
All Google Cloud SQL integrations All Linnworks integrations Browse all integrations
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