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

Yes. Stacksync provides a managed, real-time two-way integration between Firebase and Linnworks: authenticate both systems, choose the objects to sync (such as Firebase's Subcollections and Realtime Database Nodes), map fields visually, and changes propagate both ways in milliseconds — no code required.

On the Firebase side: Cloud Functions Triggers, Firestore Collections, Firestore Documents, Subcollections, plus custom fields where Firebase exposes them. On the Linnworks side: Channel Listings, Returns & Refunds, Shipping Services, Open Orders. 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 Firebase and Linnworks: Where Linnworks is the HR system of record: people data for internal systems; Controlled write-back; Read ERP records with a query. Worker and org records stay current in Firebase for provisioning, access, and reporting systems that read from the database.

Firebase: REST and gRPC APIs, typically accessed through the Firebase Admin SDK. Authentication: Google service account credentials (IAM) for server-side access; Firebase Auth tokens for client contexts. Linnworks: REST API. Authentication: Application credentials and an install token exchanged for a session token. Stacksync manages authentication, retries, and rate limits on both sides.

Firebase: Firestore documents are schemaless and support nested maps and arrays, so syncs define field mappings per document path rather than from a fixed schema. Linnworks: Orders are modeled in two populations, open orders and processed orders, and syncs typically treat processing as the state transition that moves a record between them. Stacksync's field mapping accounts for these differences between Firebase and Linnworks without custom code.