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ERP ⇄ Database

Manhattan Associates WMS to MongoDB integration — real-time, two-way sync

Keep Manhattan Associates WMS 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Manhattan Associates WMS and MongoDB

Give your engineers Manhattan Associates WMS's data in MongoDB: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors Shipments & LPNs, Receipts, Locations & Zones, Returns from Manhattan Associates WMS into MongoDB and keeps both sides consistent in real time. Whatever Manhattan Associates WMS is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in MongoDB sync back into Manhattan Associates WMS with its validations respected.

Common use cases

  • Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.
  • Sync MongoDB collections with a CRM so customer documents written by the application appear as CRM records, and CRM edits flow back as document updates.
  • Mirror inventory positions across the distribution network into a central warehouse for network-level visibility.
  • Reconcile ASNs and receipts with procurement systems to close POs automatically.

Controlled write-back

Choose exactly which tables and fields may flow from MongoDB back into Manhattan Associates WMS, keeping the ERP authoritative.

Read ERP records with a query

Records from Manhattan Associates WMS live in MongoDB as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Manhattan Associates WMS interface, limits, and retries.

What you can sync between Manhattan Associates WMS and MongoDB

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.

Manhattan Associates WMS objects MongoDB objects
Receipts Receiving transactions reconciled against POs in the ERP. Documents BSON records created, updated, and deleted during syncs, keyed by _id.
Locations & Zones Facility topology referenced when interpreting inventory positions. Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets.
Returns Return receipts synced so upstream systems reflect disposition and restock. Indexes Keep lookups by sync key fast on large collections.
Appointments Dock scheduling data coordinated with carriers and yard systems. Views Read-only aggregation-defined sources for filtered sync datasets.
Distribution Orders Outbound order releases sent from the ERP or OMS into the WMS for waving and fulfillment. Change streams The oplog-backed event feed that powers real-time change capture.
Purchase Orders & ASNs Inbound expectations synced from procurement to drive receiving and putaway. GridFS files Chunked file storage whose metadata can be referenced by synced documents.
What ships with Manhattan Associates WMS ⇄ MongoDB

Connect Manhattan Associates WMS and MongoDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Manhattan Associates WMS–MongoDB connection.

Real-time

Two-way sync

Changes in Manhattan Associates WMS or MongoDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Manhattan Associates WMS or MongoDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Manhattan Associates WMS or MongoDB record.

Observability

Monitoring

Track your Manhattan Associates WMS ⇄ MongoDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Manhattan Associates WMS and MongoDB.

How the Manhattan Associates WMS and MongoDB connectors work

Manhattan Associates WMS

Integration surface
REST API on Manhattan Active WM; database tables and message-based interfaces on legacy on-premises versions
Authentication
OAuth 2.0 on Manhattan Active; database credentials on legacy deployments
Change detection
Polling on modified timestamps; Manhattan Active also supports event/message-driven integration patterns
Capabilities
read · write

MongoDB

Integration surface
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
Change detection
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
Capabilities
read · write · CDC
MongoDB setup guide
How it works

How to connect Manhattan Associates WMS to MongoDB — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Manhattan Associates WMS 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Manhattan Associates WMS connected
    MongoDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Manhattan Associates WMS 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Manhattan Associates WMS ⇄ MongoDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Manhattan Associates WMS MongoDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Manhattan Associates WMS and MongoDB integration FAQ

SECURITY

Security teams love Stacksync

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.

SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Manhattan Associates WMS and MongoDB.

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