Two-way sync
Changes in Linnworks or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Linnworks and TimescaleDB 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 Open Orders, Processed Orders, Stock Items, Stock Levels from Linnworks into TimescaleDB 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 TimescaleDB sync back into Linnworks with its validations respected.
Records from Linnworks live in TimescaleDB 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 TimescaleDB, 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 | TimescaleDB objects | |
|---|---|---|
| Stock Items SKU records keep product data aligned with ERPs and PIMs. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Stock Levels Per-location quantities sync outward so channels and planning tools reflect current availability. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Locations Warehouse and fulfillment location records scope stock data during mapping. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Purchase Orders Replenishment POs sync with suppliers and accounting systems. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Suppliers Vendor records keep procurement data consistent across tools. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Channel Listings Marketplace and webstore listing mappings tie channel products to internal SKUs. | Views Standard SQL views used to shape or filter data for consumers. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Linnworks–TimescaleDB connection.
Changes in Linnworks or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Linnworks or TimescaleDB 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 TimescaleDB record.
Track your Linnworks ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Linnworks and TimescaleDB.
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 TimescaleDB 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 TimescaleDB 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 TimescaleDB: authenticate both systems, choose the objects to sync (such as Linnworks's Stock Items and Stock Levels), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Linnworks and TimescaleDB. 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 TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the TimescaleDB side: Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables, plus custom fields where TimescaleDB exposes them. On the Linnworks side: Open Orders, Processed Orders, Stock Items, Stock Levels. 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.
Common patterns for Linnworks and TimescaleDB: Read ERP records with a query; Internal tools and automations without API code; React to ERP changes. Records from Linnworks live in TimescaleDB as ordinary tables or collections, joinable with the rest of your data.
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 TimescaleDB.