Two-way sync
Changes in Magento or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep Magento and MongoDB 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 Inventory source items (MSI), Invoices, Shipments, Carts / quotes from Magento into MongoDB and keeps both sides consistent in real time. Whatever Magento holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in MongoDB, such as new prices, stock levels, or fulfillment status, sync back into Magento 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.
Orders and their status become rows in MongoDB for routing, fulfillment, and reporting, without polling the platform.
Choose exactly which tables and fields may flow from MongoDB back into Magento, keeping the store authoritative on what it owns.
Records from Magento, whether products, orders, customers, or inventory, live in MongoDB as ordinary tables or collections, joinable with the rest of your data.
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.
| Magento objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Carts / quotes Active and guest carts (quotes) with items and totals; read for abandoned-cart analysis (not available on the Cloud Service subset). | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Carts / quotes is specific to Magento and GridFS files to MongoDB — each maps to any object or custom field on the other side. | |
| Products Catalog items keyed by SKU; carry created_at/updated_at for incremental polling and are written two-way from a PIM or ERP into the storefront. | Databases Logical groupings of collections that scope a sync connection. | Products is specific to Magento and Databases to MongoDB — each maps to any object or custom field on the other side. | |
| Configurable / variant products Parent configurable products link to simple product variants by attribute; synced so size/color SKUs and their prices stay aligned with source systems. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Configurable / variant products is specific to Magento and Collections to MongoDB — each maps to any object or custom field on the other side. | |
| Categories Catalog tree and product-to-category assignments; written into Magento to control merchandising and read out for taxonomy reporting. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Categories is specific to Magento and Documents to MongoDB — each maps to any object or custom field on the other side. | |
| Orders Sales orders with line items, totals, and status; typically read out of Magento into a warehouse or ERP for fulfillment and revenue reporting. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Orders is specific to Magento and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side. | |
| Customers Customer accounts and address book; synced two-way with a CRM so order history and contact records stay consistent. | Indexes Keep lookups by sync key fast on large collections. | Customers is specific to Magento and Indexes to MongoDB — 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.
DetectionMagento notifies Stacksync of record changes through webhook events. Polling with searchCriteria filters on updated_at (catalog, sales, and customer entities carry created_at/updated_at).
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).
DeliveryEach detected change is written to Magento through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Magento–MongoDB connection.
Changes in Magento or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Magento or MongoDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Magento or MongoDB record.
Track your Magento ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Magento and MongoDB.
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 Magento and MongoDB 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 Magento and MongoDB 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 Magento and MongoDB: authenticate both systems, choose the objects to sync (such as Magento's Carts / quotes and Products), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the MongoDB side: Embedded documents and arrays, Indexes, Views, Change streams, plus custom fields where MongoDB exposes them. On the Magento side: Inventory source items (MSI), Invoices, Shipments, Carts / quotes. 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 Magento and MongoDB: Order data where your code can use it; Controlled write-back; Read the store's data with a query. Orders and their status become rows in MongoDB for routing, fulfillment, and reporting, without polling the platform.
Magento: REST and GraphQL Web APIs (SOAP also available). Authentication: Token-based OAuth: an integration's access token (consumer key/secret + access token/secret) or a Bearer admin token (default 4-hour expiry); Adobe Commerce as a Cloud Service authenticates via Adobe IMS (OAuth 2). MongoDB: MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management. Authentication: Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required. Stacksync manages authentication, retries, and rate limits on both sides.
MongoDB: Documents are schemaless BSON with a 16 MB size limit, so field mappings must tolerate documents that differ in shape within one collection. Magento: Products are keyed by SKU and other entities by entity_id; REST responses are filtered via searchCriteria, and catalog, sales, and customer entities carry created_at/updated_at for incremental polling. Stacksync's field mapping accounts for these differences between Magento and MongoDB without custom code.
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 498 integrations available for Magento and MongoDB.