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ERP ⇄ Data warehouse

Linnworks to Materialize integration — real-time, two-way sync

Keep Linnworks and Materialize 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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Migrated from Mulesoft
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Why teams connect Linnworks and Materialize

Put Linnworks's records in Materialize as live tables for reporting and analysis, without extract jobs, and write results back where Linnworks can use them.

ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Linnworks carries financials, operations, workforce data, or all three, the analysis belongs in Materialize next to everything else the company measures.

Stacksync syncs Stock Items, Stock Levels, Locations, Purchase Orders from Linnworks into tables in Materialize continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Materialize can be written back to fields in Linnworks where that is useful.

Common use cases

  • Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.
  • Bridge streaming sources and non-streaming destinations by materializing joins across both.
  • 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

Where Linnworks is the HR system of record: workforce analytics

Worker and organization data syncs into Materialize for headcount, cost, and planning analysis alongside other company data.

Where Linnworks runs operations: order and supply analysis

Operational records become queryable tables in Materialize, joinable with sales and finance data.

Group reporting across systems

Combine Linnworks's records with data synced from other systems in Materialize for consolidated views no single system can produce.

What you can sync between Linnworks and Materialize

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 Materialize objects
Purchase Orders Replenishment POs sync with suppliers and accounting systems. Sinks Outbound connections that emit view changes to Kafka topics.
Suppliers Vendor records keep procurement data consistent across tools. Indexes In-memory arrangements that make view reads fast for serving workloads.
Channel Listings Marketplace and webstore listing mappings tie channel products to internal SKUs. Clusters Compute pools that isolate ingestion, view maintenance, and serving.
Returns & Refunds Post-sale records flow to finance and support systems. Connections & Secrets Stored credentials and endpoints used by sources and sinks.
Shipping Services Carrier and service definitions support label and tracking data in order syncs. Schemas & Databases Namespaces that organize objects a sync targets.
Open Orders Unshipped orders aggregated from sales channels sync into ERPs and fulfillment systems. Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines.
What ships with Linnworks ⇄ Materialize

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Linnworks or Materialize 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 Linnworks or Materialize record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Linnworks and Materialize.

How the Linnworks and Materialize connectors work

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

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC
How it works

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

    Choose tables

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

Linnworks and Materialize 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.

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 Linnworks and Materialize.

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