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Database ⇄ ERP

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

Keep AWS Aurora MySQL 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 AWS Aurora MySQL and Linnworks

Give your engineers Linnworks's data in AWS Aurora MySQL: 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 Channel Listings, Returns & Refunds, Shipping Services, Open Orders from Linnworks into AWS Aurora MySQL 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 AWS Aurora MySQL sync back into Linnworks with its validations respected.

Common use cases

  • Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
  • Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • Sync orders from Linnworks into an ERP or accounting system as they are processed, without CSV exports
  • Keep stock levels consistent between Linnworks and external systems so multichannel listings stay aligned with sellable stock

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

Worker and org records stay current in AWS Aurora MySQL for provisioning, access, and reporting systems that read from the database.

Controlled write-back

Choose exactly which tables and fields may flow from AWS Aurora MySQL back into Linnworks, keeping the ERP authoritative.

Read ERP records with a query

Records from Linnworks live in AWS Aurora MySQL as ordinary tables or collections, joinable with the rest of your data.

What you can sync between AWS Aurora MySQL 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.

AWS Aurora MySQL objects Linnworks objects
Views Can serve as read-only sync sources for derived or filtered datasets. Open Orders Unshipped orders aggregated from sales channels sync into ERPs and fulfillment systems.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Processed Orders Completed orders feed accounting and warehouse-based margin reporting.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Stock Items SKU records keep product data aligned with ERPs and PIMs.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Stock Levels Per-location quantities sync outward so channels and planning tools reflect current availability.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Locations Warehouse and fulfillment location records scope stock data during mapping.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Purchase Orders Replenishment POs sync with suppliers and accounting systems.
What ships with AWS Aurora MySQL ⇄ Linnworks

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Linnworks instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL 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 AWS Aurora MySQL or Linnworks record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Linnworks sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Linnworks.

How the AWS Aurora MySQL and Linnworks connectors work

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

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

    Choose tables

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

AWS Aurora MySQL and Linnworks integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for AWS Aurora MySQL and Linnworks.

Popular · 8 of 386
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