Two-way sync
Changes in MongoDB or Nuorder instantly reflect in both systems. No stale data, no manual imports.
Keep MongoDB and Nuorder 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 Orders, Companies, Line Items, Inventory (ATS) from Nuorder into MongoDB and keeps both sides consistent in real time. Whatever Nuorder 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 Nuorder 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.
Scripts and services read and write the synced tables; Stacksync handles the Nuorder API, rate limits, and retries.
Updates in Nuorder 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 Nuorder, so the storefront shows what your systems treat as true.
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 | Nuorder objects | How this pairing syncs | |
|---|---|---|---|
| Databases Logical groupings of collections that scope a sync connection. | Payments Payment status and detail returned alongside Orders (the modified-orders date-range query returns the order plus its payment information); read-oriented in most syncs. | Databases is specific to MongoDB and Payments to Nuorder — each maps to any object or custom field on the other side. | |
| Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Products Fluent-schema catalog records (style, SKU, images, custom fields); brands push them in via /api/product/new (POST) and update via /api/product/{id} (PUT), typically mastered in a PIM or ERP. | Collections is specific to MongoDB and Products to Nuorder — each maps to any object or custom field on the other side. | |
| Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Orders Wholesale sales orders with nested line items and payment info; read via /api/orders/{status}/detail, created via /api/order/new (PUT), and advanced via /api/order/{id}/process and /cancel. | Documents is specific to MongoDB and Orders to Nuorder — 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. | Companies Retailer and customer accounts (buyers, doors); enumerated via /api/companies/codes/list and created through the customer-creation API, commonly synced with a CRM or ERP. | Embedded documents and arrays is specific to MongoDB and Companies to Nuorder — each maps to any object or custom field on the other side. | |
| Indexes Keep lookups by sync key fast on large collections. | Line Items SKU, quantity, and price rows nested inside each Order; the unit ERPs and fulfillment systems consume when an order is written out. | Indexes is specific to MongoDB and Line Items to Nuorder — each maps to any object or custom field on the other side. | |
| Views Read-only aggregation-defined sources for filtered sync datasets. | Inventory (ATS) Available-to-sell stock levels updated via /api/inventory/{id} (PUT); usually written from a warehouse or ERP into NuORDER so buyers see accurate availability. | Views is specific to MongoDB and Inventory (ATS) to Nuorder — 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 Nuorder through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Nuorder for changes on an incremental schedule, reading only records changed since the previous pass. Polling on modified date: a date-range order endpoint returns the IDs of orders changed within a UTC start/end window.
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–Nuorder connection.
Changes in MongoDB or Nuorder instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MongoDB or Nuorder 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 Nuorder record.
Track your MongoDB ⇄ Nuorder sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MongoDB and Nuorder.
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 Nuorder 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 Nuorder 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 Nuorder: authenticate both systems, choose the objects to sync (such as MongoDB's Databases and Collections), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the MongoDB side: GridFS files, Databases, Collections, Documents, plus custom fields where MongoDB exposes them. On the Nuorder side: Orders, Companies, Line Items, Inventory (ATS). 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 MongoDB and Nuorder: Internal tools and automations without API code; React to store changes; Keep catalog and inventory current. Scripts and services read and write the synced tables; Stacksync handles the Nuorder API, rate limits, and retries.
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. Nuorder: REST API (JSON), with optional SFTP flat-file data feeds. Authentication: OAuth 1.0 — consumer key/secret plus an access token/secret issued per approved application in the NuORDER Portal (Admin > Settings > API Management > Approved Applications). Stacksync manages authentication, retries, and rate limits on both sides.
MongoDB: Only ObjectId primary keys are supported for collections. Nuorder: Change tracking is polling-based: the API exposes a date-range endpoint returning order IDs modified within a UTC window rather than pushing native webhooks. Stacksync's field mapping accounts for these differences between MongoDB and Nuorder 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 403 integrations available for MongoDB and Nuorder.