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Database ⇄ ERP

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

Keep Amazon DynamoDB and Manhattan Associates WMS in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Amazon DynamoDB and Manhattan Associates WMS

Give your engineers Manhattan Associates WMS's data in Amazon DynamoDB: 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 Items, Shipments & LPNs, Receipts, Locations & Zones from Manhattan Associates WMS into Amazon DynamoDB 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 Amazon DynamoDB sync back into Manhattan Associates WMS with its validations respected.

Common use cases

  • 01 Use DynamoDB Streams as a change-data-capture source to push item INSERT, MODIFY, and REMOVE events into a CRM, search index, or operational database in near-real-time.
  • 02 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.
  • 03 Stream ship confirmations and tracking to the ERP and CRM so customer service answers from live data.
  • 04 Mirror inventory positions across the distribution network into a central warehouse for network-level visibility.

Common sync patterns

React to ERP changes

Updates in Manhattan Associates WMS arrive as row changes in Amazon DynamoDB, so jobs and triggers can respond as the business record changes.

Where Manhattan Associates WMS is the HR system of record: people data for internal systems

Worker and org records stay current in Amazon DynamoDB for provisioning, access, and reporting systems that read from the database.

Controlled write-back

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

What you can sync between Amazon DynamoDB and Manhattan Associates WMS

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.

Amazon DynamoDB objects Manhattan Associates WMS objects How this pairing syncs
Items Individual schemaless records (attributes up to 400 KB each); read with GetItem, Query, and Scan and written with PutItem or BatchWriteItem, so write is supported here. Items Item master and packaging data kept consistent with the ERP catalog. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. Locations & Zones Facility topology referenced when interpreting inventory positions. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Locations & Zones to Manhattan Associates WMS — each maps to any object or custom field on the other side.
DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. Returns Return receipts synced so upstream systems reflect disposition and restock. DynamoDB Streams is specific to Amazon DynamoDB and Returns to Manhattan Associates WMS — each maps to any object or custom field on the other side.
Global Tables Multi-region, active-active replicas of a table kept in sync by DynamoDB; each region is read and written locally with last-writer-wins conflict resolution. Appointments Dock scheduling data coordinated with carriers and yard systems. Global Tables is specific to Amazon DynamoDB and Appointments to Manhattan Associates WMS — each maps to any object or custom field on the other side.
Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Distribution Orders Outbound order releases sent from the ERP or OMS into the WMS for waving and fulfillment. Time to Live (TTL) is specific to Amazon DynamoDB and Distribution Orders to Manhattan Associates WMS — each maps to any object or custom field on the other side.
Tables Top-level containers, each with a partition key and optional sort key; Stacksync syncs a table as a stream of items with full read and write via PutItem, UpdateItem, and DeleteItem. Purchase Orders & ASNs Inbound expectations synced from procurement to drive receiving and putaway. Tables is specific to Amazon DynamoDB and Purchase Orders & ASNs to Manhattan Associates WMS — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and Manhattan Associates WMS

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.

Amazon DynamoDB Manhattan Associates WMS Sub-second propagation

DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.

DeliveryEach detected change is written to Manhattan Associates WMS through its API, with automatic retries and rate-limit backoff.

Manhattan Associates WMS Amazon DynamoDB Interval-based propagation

DetectionStacksync polls Manhattan Associates WMS for changes on an incremental schedule, reading only records changed since the previous pass. Polling on modified timestamps.

DeliveryEach detected change is applied to Amazon DynamoDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon DynamoDB: Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
What ships with Amazon DynamoDB ⇄ Manhattan Associates WMS

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or Manhattan Associates WMS 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 Amazon DynamoDB or Manhattan Associates WMS record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Amazon DynamoDB and Manhattan Associates WMS connectors work

Amazon DynamoDB

Integration surface
AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture.
Authentication
AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level.
Change detection
DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks.
Capabilities
read · write · CDC
Rate limits
Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.

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
How it works

How to connect Amazon DynamoDB to Manhattan Associates WMS — 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 Amazon DynamoDB and Manhattan Associates WMS 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
    Amazon DynamoDB connected
    Manhattan Associates WMS connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon DynamoDB and Manhattan Associates WMS 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 · Amazon DynamoDB ⇄ Manhattan Associates WMS
    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
    Amazon DynamoDB Manhattan Associates WMS
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon DynamoDB and Manhattan Associates WMS integration FAQ

SECURITY

Security teams trust 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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 439 integrations available for Amazon DynamoDB and Manhattan Associates WMS.

Popular · 6 of 439
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