Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or Linnworks instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
AWS Aurora PostgreSQL to Linnworks integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL 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 PostgreSQL and Linnworks
Give your engineers Linnworks's data in AWS Aurora PostgreSQL: 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 Processed Orders, Stock Items, Stock Levels, Locations from Linnworks into AWS Aurora PostgreSQL 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 PostgreSQL sync back into Linnworks with its validations respected.
Common use cases
- Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
- Sync JSONB-heavy application data into structured objects in downstream business systems.
- Sync product and listing data with a PIM so channel listings stay aligned with the catalog
- Push customer and order data to a CRM or marketing platform for post-purchase campaigns
Read ERP records with a query
Records from Linnworks live in AWS Aurora PostgreSQL as ordinary tables or collections, joinable with the rest of your data.
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 AWS Aurora PostgreSQL, so jobs and triggers can respond as the business record changes.
What you can sync between AWS Aurora PostgreSQL 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 PostgreSQL objects | Linnworks objects | |
|---|---|---|
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Processed Orders Completed orders feed accounting and warehouse-based margin reporting. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Stock Items SKU records keep product data aligned with ERPs and PIMs. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Stock Levels Per-location quantities sync outward so channels and planning tools reflect current availability. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Locations Warehouse and fulfillment location records scope stock data during mapping. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Purchase Orders Replenishment POs sync with suppliers and accounting systems. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Suppliers Vendor records keep procurement data consistent across tools. |
What ships with AWS Aurora PostgreSQL ⇄ Linnworks
Connect AWS Aurora PostgreSQL and Linnworks for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Linnworks connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 PostgreSQL or Linnworks record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL and Linnworks.
How the AWS Aurora PostgreSQL and Linnworks connectors work
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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.
- 01
Connect your apps
Authenticate AWS Aurora PostgreSQL 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.
AWS Aurora PostgreSQL
connected
Linnworks
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL 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.
objects · AWS Aurora PostgreSQL ⇄ LinnworksCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
AWS Aurora PostgreSQL LinnworksCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and Linnworks integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Linnworks: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Foreign keys and Replication slots and publications), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means AWS Aurora PostgreSQL and Linnworks records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Linnworks connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Linnworks integration in-house.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Linnworks. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On Linnworks: Polling on order and stock endpoints. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the AWS Aurora PostgreSQL side: Primary keys and constraints, Views and materialized views, Foreign keys, Replication slots and publications, plus custom fields where AWS Aurora PostgreSQL exposes them. On the Linnworks side: Processed Orders, Stock Items, Stock Levels, Locations. Stacksync auto-detects both schemas and converts types between the two systems.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora PostgreSQL and Linnworks.
Popular · 8 of 386
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AWS Aurora PostgreSQL ⇄ QAD ERP -
AWS Aurora PostgreSQL ⇄ Rootstock ERP -
AWS Aurora PostgreSQL ⇄ Sage 100 - AWS Aurora PostgreSQL ⇄ Sage 300
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Linnworks ⇄ Scaleway Postgres -
Linnworks ⇄ TiDB -
Linnworks ⇄ TimescaleDB -
Linnworks ⇄ VoltDB
No integrations match .
