Real-time
Two-way sync
Changes in Linnworks or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
Linnworks to Render Postgres integration — real-time, two-way sync
Keep Linnworks and Render Postgres 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Linnworks and Render Postgres
Give your engineers Linnworks's data in Render Postgres: 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 Stock Levels, Locations, Purchase Orders, Suppliers from Linnworks into Render Postgres 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 Render Postgres sync back into Linnworks with its validations respected.
Common use cases
- 01 Serve as the operational read/write store behind internal tools while Stacksync keeps it consistent with SaaS systems of record.
- 02 Replicate between a Render database and another Postgres or warehouse for migration or environment separation.
- 03 Mirror processed orders, refunds, and returns into a warehouse for margin reporting across channels
- 04 Sync product and listing data with a PIM so channel listings stay aligned with the catalog
Common sync patterns
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 Render Postgres, 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 Render Postgres for provisioning, access, and reporting systems that read from the database.
What you can sync between Linnworks and Render Postgres
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 | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Open Orders Unshipped orders aggregated from sales channels sync into ERPs and fulfillment systems. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Open Orders is specific to Linnworks and Materialized Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Processed Orders Completed orders feed accounting and warehouse-based margin reporting. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Processed Orders is specific to Linnworks and Schemas to Render Postgres — each maps to any object or custom field on the other side. | |
| Stock Items SKU records keep product data aligned with ERPs and PIMs. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Stock Items is specific to Linnworks and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. | |
| Stock Levels Per-location quantities sync outward so channels and planning tools reflect current availability. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Stock Levels is specific to Linnworks and Indexes and Constraints to Render Postgres — each maps to any object or custom field on the other side. | |
| Locations Warehouse and fulfillment location records scope stock data during mapping. | Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Locations is specific to Linnworks and Tables to Render Postgres — each maps to any object or custom field on the other side. | |
| Purchase Orders Replenishment POs sync with suppliers and accounting systems. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Purchase Orders is specific to Linnworks and Views to Render Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Linnworks and Render Postgres
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Linnworks Render Postgres Interval-based propagation
DetectionStacksync polls Linnworks for changes on an incremental schedule, reading only records changed since the previous pass. Polling on order and stock endpoints.
DeliveryEach detected change is applied to Render Postgres as a row-level write, with types converted between the two schemas.
Render Postgres Linnworks Sub-second propagation
DetectionChanges in Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
DeliveryEach detected change is written to Linnworks through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Linnworks: Per-endpoint rate limits apply on the Linnworks API.
- Render Postgres: No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
What ships with Linnworks ⇄ Render Postgres
Connect Linnworks and Render Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Linnworks–Render Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Linnworks or Render Postgres 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 Render Postgres record.
Observability
Monitoring
Track your Linnworks ⇄ Render Postgres 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 Render Postgres.
How the Linnworks and Render Postgres 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
Render Postgres
- Integration surface
- PostgreSQL wire protocol (managed Postgres on Render)
- Authentication
- Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting
- Change detection
- Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
How it works
How to connect Linnworks to Render Postgres — 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 Linnworks and Render Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Linnworks
connected
Render Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Linnworks and Render Postgres 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 · Linnworks ⇄ Render PostgresCustomers 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.
Linnworks Render PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Linnworks and Render Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Linnworks and Render Postgres: authenticate both systems, choose the objects to sync (such as Linnworks's Open Orders and Processed Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Linnworks and Render Postgres: Internal tools and automations without API code; React to ERP changes; Where Linnworks is the HR system of record: people data for internal systems. Scripts and services read and write the synced tables; Stacksync handles the Linnworks interface, limits, and retries.
-
Linnworks: REST API. Authentication: Application credentials and an install token exchanged for a session token. Render Postgres: PostgreSQL wire protocol (managed Postgres on Render). Authentication: Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting. Stacksync manages authentication, retries, and rate limits on both sides.
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Render Postgres: External connections use a separate hostname from Render-internal ones and require TLS; access can be restricted by IP allowlist. Linnworks: Stock is tracked per location, and channel listings are mapped to internal SKUs, which is the join integrations rely on when reconciling marketplace data. Stacksync's field mapping accounts for these differences between Linnworks and Render Postgres without custom code.
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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 Linnworks and Render Postgres records are not retained after a sync operation.
SECURITY
Security teams trust 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
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