Two-way sync
Changes in Akeneo or Firebase instantly reflect in both systems. No stale data, no manual imports.
Keep Akeneo and Firebase in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.
Stacksync mirrors Product models, Categories, Attributes, Families and family variants from Akeneo into Firebase and keeps both sides consistent in real time. Whatever Akeneo holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Firebase, such as new prices, stock levels, or fulfillment status, sync back into Akeneo with its validations respected.
Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.
Updates in Akeneo arrive as row changes in Firebase, so jobs and triggers can respond the moment an order, price, or stock level changes.
Prices, stock levels, or product details maintained in Firebase sync back onto Akeneo, so the storefront shows what your systems treat as true.
Orders and their status become rows in Firebase for routing, fulfillment, and reporting, without polling the platform.
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.
| Akeneo objects | Firebase objects | How this pairing syncs | |
|---|---|---|---|
| Channels and locales Target-market settings that scope attribute values; read to resolve which localized or channel-specific value to map on each side of a sync. | Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | Channels and locales is specific to Akeneo and Cloud Storage Objects to Firebase — each maps to any object or custom field on the other side. | |
| Media files Product images and files uploaded via the media endpoint; referenced by products and pushed to downstream commerce and content systems. | Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Media files is specific to Akeneo and Cloud Functions Triggers to Firebase — each maps to any object or custom field on the other side. | |
| Products Core catalog records addressed by UUID (recommended) or identifier/SKU; synced two-way with databases, ERPs, and storefronts. Values are scoped per channel and locale. | Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | Products is specific to Akeneo and Firestore Collections to Firebase — each maps to any object or custom field on the other side. | |
| Product models Parent records for configurable products; hold shared attribute values that cascade to their variant products, synced alongside Products. | Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | Product models is specific to Akeneo and Firestore Documents to Firebase — each maps to any object or custom field on the other side. | |
| Categories The category tree used to classify products; read out for storefront navigation or written in from an ERP to seed catalog structure. | Subcollections Nested collections under documents, typically flattened into related tables during sync. | Categories is specific to Akeneo and Subcollections to Firebase — each maps to any object or custom field on the other side. | |
| Attributes Attribute definitions plus attribute options and groups; describe the shape of product data, usually mastered in Akeneo and read downstream. | Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | Attributes is specific to Akeneo and Realtime Database Nodes to Firebase — each maps to any object or custom field on the other side. |
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.
DetectionAkeneo notifies Stacksync of record changes through webhook events. Events API webhooks (product.created, product.updated, product.deleted, plus product-model equivalents.
DeliveryEach detected change is written to Firebase through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Firebase for changes on an incremental schedule, reading only records changed since the previous pass. Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes.
DeliveryEach detected change is written to Akeneo through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Akeneo–Firebase connection.
Changes in Akeneo or Firebase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Akeneo or Firebase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Akeneo or Firebase record.
Track your Akeneo ⇄ Firebase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Akeneo and Firebase.
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 Akeneo and Firebase 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 Akeneo and Firebase 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 Akeneo and Firebase: authenticate both systems, choose the objects to sync (such as Akeneo's Channels and locales and Media files), map fields visually, and changes propagate both ways in milliseconds — no code required.
Akeneo: REST API (plus a GraphQL API) and an Events API for webhooks. Authentication: OAuth2 password grant: client_id/secret plus an API user's username/password exchanged at /api/oauth/v1/token for a bearer access_token and refresh_token; Apps use the OAuth2 authorization-code flow. 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. 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. Akeneo: The Events API caps at 4000 requests/hour (up to 10 events each), webhook servers must respond within 500ms, and events older than 2 hours are discarded. Stacksync's field mapping accounts for these differences between Akeneo and Firebase without custom code.
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 Akeneo and Firebase records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Akeneo and Firebase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Akeneo–Firebase integration in-house.
Yes — Stacksync ships production-grade connectors for both Akeneo and Firebase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 490 integrations available for Akeneo and Firebase.