Two-way sync
Changes in Linnworks or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Keep Linnworks and PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 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 PostgreSQL sync back into Linnworks with its validations respected.
Records from Linnworks live in PostgreSQL as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Linnworks interface, limits, and retries.
Updates in Linnworks arrive as row changes in PostgreSQL, so jobs and triggers can respond as the business record changes.
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.
| Linnworks objects | PostgreSQL objects | |
|---|---|---|
| Purchase Orders Replenishment POs sync with suppliers and accounting systems. | Schemas Namespaces that scope which tables a sync reads and writes. | |
| Suppliers Vendor records keep procurement data consistent across tools. | Columns Field-level mapping targets; types are mapped to the connected system's field types. | |
| Channel Listings Marketplace and webstore listing mappings tie channel products to internal SKUs. | Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | |
| Returns & Refunds Post-sale records flow to finance and support systems. | JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | |
| Shipping Services Carrier and service definitions support label and tracking data in order syncs. | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Open Orders Unshipped orders aggregated from sales channels sync into ERPs and fulfillment systems. | Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Linnworks–PostgreSQL connection.
Changes in Linnworks or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Linnworks or PostgreSQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Linnworks or PostgreSQL record.
Track your Linnworks ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Linnworks and PostgreSQL.
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.
Authenticate Linnworks and PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Linnworks and PostgreSQL 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Linnworks and PostgreSQL: authenticate both systems, choose the objects to sync (such as Linnworks's Purchase Orders and Suppliers), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Linnworks and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Linnworks–PostgreSQL integration in-house.
Yes — Stacksync ships production-grade connectors for both Linnworks and PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Linnworks: Polling on order and stock endpoints. On PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the PostgreSQL side: Schemas, Columns, Primary and Unique Keys, JSONB Columns, plus custom fields where 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.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Linnworks and PostgreSQL.