Two-way sync
Changes in MongoDB or Shopware instantly reflect in both systems. No stale data, no manual imports.
Keep MongoDB and Shopware 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 Sales Channels, Media, Products, Categories from Shopware into MongoDB and keeps both sides consistent in real time. Whatever Shopware 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 Shopware 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 Shopware arrive as row changes in MongoDB, so jobs and triggers can respond the moment an order, price, or stock level changes.
Prices, stock levels, or product details maintained in MongoDB sync back onto Shopware, so the storefront shows what your systems treat as true.
Orders and their status become rows in MongoDB 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.
| MongoDB objects | Shopware objects | How this pairing syncs | |
|---|---|---|---|
| Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Order Transactions Payment records (`order_transaction`) holding payment method and state; read to reconcile against a billing or finance system. | Collections is specific to MongoDB and Order Transactions to Shopware — each maps to any object or custom field on the other side. | |
| Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Sales Channels Per-storefront configuration (`sales_channel`); used to scope and consolidate orders and customers across multiple storefronts. | Documents is specific to MongoDB and Sales Channels to Shopware — each maps to any object or custom field on the other side. | |
| Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Media Media assets (`media`) such as product images; referenced by id so file URLs and metadata sync into downstream catalogs. | Embedded documents and arrays is specific to MongoDB and Media to Shopware — each maps to any object or custom field on the other side. | |
| Indexes Keep lookups by sync key fast on large collections. | Products The product catalog (`product`), including parent/child variants, per-currency nested price arrays, and stock; synced two-way with ERP, PIM, or a database. | Indexes is specific to MongoDB and Products to Shopware — each maps to any object or custom field on the other side. | |
| Views Read-only aggregation-defined sources for filtered sync datasets. | Categories The navigation and catalogue tree (`category`); mapped to product taxonomy in a warehouse or written from a PIM. | Views is specific to MongoDB and Categories to Shopware — each maps to any object or custom field on the other side. | |
| Change streams The oplog-backed event feed that powers real-time change capture. | Customers Storefront customer accounts (`customer`) with addresses and group; synced two-way with a CRM or support tool. | Change streams is specific to MongoDB and Customers to Shopware — 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.
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 Shopware through its API, with automatic retries and rate-limit backoff.
DetectionShopware notifies Stacksync of record changes through webhook events. App-system webhooks on entity events (product.written, order.written, customer.written) deliver the changed record's primaryKey and updated field.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MongoDB–Shopware connection.
Changes in MongoDB or Shopware instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MongoDB or Shopware data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single MongoDB or Shopware record.
Track your MongoDB ⇄ Shopware sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MongoDB and Shopware.
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 MongoDB and Shopware 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 MongoDB and Shopware 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 MongoDB and Shopware: authenticate both systems, choose the objects to sync (such as MongoDB's Collections and Documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
MongoDB: Change streams expose ordered change events with resume tokens, so an interrupted sync can pick up exactly where it stopped without a full re-read. Shopware: Entity.written webhooks deliver the changed record's primaryKey and the list of updated field names, not the full entity, so the integration fetches details back over the Admin API. Stacksync's field mapping accounts for these differences between MongoDB and Shopware 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 MongoDB and Shopware records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed MongoDB and Shopware connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MongoDB–Shopware integration in-house.
Yes — Stacksync ships production-grade connectors for both MongoDB and Shopware. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on MongoDB: MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time. On Shopware: App-system webhooks on entity events (product.written, order.written, customer.written) deliver the changed record's primaryKey and updated field names; otherwise poll on the updatedAt / createdAt fields. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 MongoDB and Shopware.