Two-way sync
Changes in IBM Db2 or Linnworks instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Db2 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.
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 IBM Db2 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 IBM Db2 sync back into Linnworks with its validations respected.
Records from Linnworks live in IBM Db2 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 IBM Db2, 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.
| IBM Db2 objects | Linnworks objects | |
|---|---|---|
| Tablespaces Physical storage layout that operators consider when adding synced tables. | Stock Levels Per-location quantities sync outward so channels and planning tools reflect current availability. | |
| Databases The connection target; each database holds the schemas a sync addresses. | Locations Warehouse and fulfillment location records scope stock data during mapping. | |
| Schemas Namespaces separating synced data from application and system objects. | Purchase Orders Replenishment POs sync with suppliers and accounting systems. | |
| Tables Primary read/write target for syncing rows with SaaS systems or other databases. | Suppliers Vendor records keep procurement data consistent across tools. | |
| Views Read-only projections often used to expose curated slices to a sync. | Channel Listings Marketplace and webstore listing mappings tie channel products to internal SKUs. | |
| Indexes Support fast key lookups on sync match columns. | Returns & Refunds Post-sale records flow to finance and support systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Db2–Linnworks connection.
Changes in IBM Db2 or Linnworks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Db2 or Linnworks data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single IBM Db2 or Linnworks record.
Track your IBM Db2 ⇄ Linnworks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Db2 and Linnworks.
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 IBM Db2 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.
Pick the IBM Db2 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.
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 IBM Db2 and Linnworks: authenticate both systems, choose the objects to sync (such as IBM Db2's Tablespaces and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both IBM Db2 and Linnworks. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on IBM Db2: Log-based CDC through IBM's replication tooling where licensed; otherwise polling on timestamp or audit columns. 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.
On the IBM Db2 side: Sequences, Tablespaces, Databases, Schemas, plus custom fields where IBM Db2 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 IBM Db2 and Linnworks: Read ERP records with a query; Internal tools and automations without API code; React to ERP changes. Records from Linnworks live in IBM Db2 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 IBM Db2 and Linnworks.