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Data warehouse ⇄ ERP

AWS S3 to Logiwa WMS integration — real-time, two-way sync

Keep AWS S3 and Logiwa 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.

  • 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 AWS S3 and Logiwa WMS

Put Logiwa WMS's records in AWS S3 as live tables for reporting and analysis, without extract jobs, and write results back where Logiwa WMS can use them.

ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Logiwa WMS carries financials, operations, workforce data, or all three, the analysis belongs in AWS S3 next to everything else the company measures.

Stacksync syncs Inventory, Products (SKUs), Shipments, Warehouses & Locations from Logiwa WMS into tables in AWS S3 continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in AWS S3 can be written back to fields in Logiwa WMS where that is useful.

Common use cases

  • Ingest partner or vendor file drops (CSV, JSON, Parquet) from a bucket into a database or CRM as records.
  • Export synced operational data to S3 as files feeding a data lake or downstream batch jobs.
  • Mirror on-hand inventory into a central database or storefront to prevent overselling.
  • Keep the product catalog consistent between the ERP item master and the WMS.

Write-back where Logiwa WMS exposes writable fields

Classifications or reference values computed in AWS S3 sync back onto the corresponding records in Logiwa WMS.

Where Logiwa WMS holds the books: finance reporting from live data

Financial records land in AWS S3 as they change, so period-end reporting queries current numbers rather than last night's extract.

Where Logiwa WMS is the HR system of record: workforce analytics

Worker and organization data syncs into AWS S3 for headcount, cost, and planning analysis alongside other company data.

What you can sync between AWS S3 and Logiwa 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.

AWS S3 objects Logiwa WMS objects
Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. Inventory On-hand and available stock levels read out to keep storefronts, ERPs, and analytics stores current.
Event Notifications Notifications on object creation or deletion that trigger incremental processing. Products (SKUs) Item master records kept consistent between the ERP or ecommerce catalog and the WMS.
Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. Shipments Carrier, tracking, and ship-confirm data pushed back to order sources after dispatch.
Multipart Uploads The mechanism used to write large export files reliably. Warehouses & Locations Facility and bin structure referenced when mapping multi-warehouse inventory.
Buckets Top-level containers a sync targets; region and policy are set at this level. Clients 3PL client accounts used to scope orders and inventory in multi-client deployments.
Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. Returns Return receipts synced so ERPs and support tools reflect restocked inventory.
What ships with AWS S3 ⇄ Logiwa WMS

Connect AWS S3 and Logiwa WMS for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Logiwa WMS connection.

Real-time

Two-way sync

Changes in AWS S3 or Logiwa WMS instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS S3 or Logiwa 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 AWS S3 or Logiwa WMS record.

Observability

Monitoring

Track your AWS S3 ⇄ Logiwa WMS sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS S3 and Logiwa WMS.

How the AWS S3 and Logiwa WMS connectors work

AWS S3

Integration surface
REST API (the S3 API), accessed directly or through AWS SDKs
Authentication
AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
Change detection
S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes

Logiwa WMS

Integration surface
REST API
Authentication
API key / token
Change detection
Polling on order and inventory endpoints using modified timestamps, subject to the platform's API rate limits
Capabilities
read · write
Rate limits
Subject to the platform's published API rate limits.
How it works

How to connect AWS S3 to Logiwa 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 AWS S3 and Logiwa 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
    AWS S3 connected
    Logiwa WMS connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS S3 and Logiwa 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 · AWS S3 ⇄ Logiwa 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
    AWS S3 Logiwa WMS
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS S3 and Logiwa WMS 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.

Learn more about security
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:

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 386 integrations available for AWS S3 and Logiwa WMS.

Popular · 8 of 386
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