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Database ⇄ ERP

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

Keep Amazon Aurora 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 Amazon Aurora and Linnworks

Give your engineers Linnworks's data in Amazon Aurora: 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 Locations, Purchase Orders, Suppliers, Channel Listings from Linnworks into Amazon Aurora 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 Amazon Aurora sync back into Linnworks with its validations respected.

Common use cases

  • Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.
  • Two-way sync between Aurora application tables and a CRM so product data and account data stay consistent.
  • Push customer and order data to a CRM or marketing platform for post-purchase campaigns
  • Sync orders from Linnworks into an ERP or accounting system as they are processed, without CSV exports

React to ERP changes

Updates in Linnworks arrive as row changes in Amazon Aurora, 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 Amazon Aurora for provisioning, access, and reporting systems that read from the database.

Controlled write-back

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

What you can sync between Amazon Aurora 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.

Amazon Aurora objects Linnworks objects
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Suppliers Vendor records keep procurement data consistent across tools.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Channel Listings Marketplace and webstore listing mappings tie channel products to internal SKUs.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Returns & Refunds Post-sale records flow to finance and support systems.
Databases Logical databases within a cluster that scope a sync connection. Shipping Services Carrier and service definitions support label and tracking data in order syncs.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Open Orders Unshipped orders aggregated from sales channels sync into ERPs and fulfillment systems.
Tables Relational tables synced bi-directionally at row level. Processed Orders Completed orders feed accounting and warehouse-based margin reporting.
What ships with Amazon Aurora ⇄ Linnworks

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

Track your Amazon Aurora ⇄ Linnworks 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 Linnworks.

How the Amazon Aurora and Linnworks 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

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

    Choose tables

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

Amazon Aurora 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 Amazon Aurora and Linnworks.

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