Real-time
Two-way sync
Changes in Amazon S3 or Logiwa WMS instantly reflect in both systems. No stale data, no manual imports.
Storage ⇄ ERP
Amazon S3 to Logiwa WMS integration — real-time, two-way sync
Keep Amazon 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Amazon S3 and Logiwa WMS
Move the documents and data that Logiwa WMS produces into Amazon S3 as files, and let files stored in Amazon S3 update the records they belong to in Logiwa WMS, continuously and without exports or manual filing.
Logiwa WMS runs the business on structured records: Inventory, Products (SKUs), Shipments, Warehouses & Locations. Amazon S3 holds files and the metadata that describes them: Object tags, Object versions, Prefixes (folders), Multipart uploads. The two do not share a customer table or an order ledger. What they share is documents. Nearly every record Logiwa WMS touches produces a file that belongs in storage, whether an invoice, a purchase order, a statement, or a shipping doc, and many files that land in Amazon S3, from signed contracts to vendor bills to receipts, describe a transaction Logiwa WMS needs to record. Left unconnected, that link is maintained by hand: someone exports a PDF and drags it into a folder, or downloads a file and keys its details into a record.
Stacksync keeps Inventory, Products (SKUs), Shipments, Warehouses & Locations in Logiwa WMS and Object tags, Object versions, Prefixes (folders), Multipart uploads in Amazon S3 in sync, bi-directionally and in real time. A document and its details, the customer, the type, the date, an amount, an order or invoice number, are mapped field by field, so a file arrives in Amazon S3 already labeled and filed, and metadata captured against a stored file can create or update the matching record in Logiwa WMS. Changes on either side show up within seconds, with conflict resolution in place of nightly exports and manual filing.
The result is that a transaction and the document that backs it stay together. Finance, operations, and audit teams find the file behind a record without digging through folders, and the record in Logiwa WMS and the file in Amazon S3 never describe two different versions of the same document.
Common use cases
- 01 Sync shipment confirmations and tracking numbers back to the CRM so support sees fulfillment status.
- 02 Mirror on-hand inventory into a central database or storefront to prevent overselling.
- 03 Index every new Object's key, size, LastModified, and user metadata into a Postgres catalog table so applications query S3 contents in SQL instead of paging ListObjectsV2.
- 04 Two-way sync Object tags with a database so retention or classification labels set in an internal app write back onto S3 objects via the tagging API without rewriting the files.
Common sync patterns
Documents filed with their context
Files that Logiwa WMS produces land in Amazon S3 labeled with the customer, document type, and reference number they belong to, so the right copy is one search away instead of buried in a folder.
Metadata that files itself
Record fields from Logiwa WMS, like customer, date, amount, type, and reference number, become the metadata and tags on the stored file in Amazon S3, so storage stays organized without anyone tagging by hand.
Where Amazon S3 captures inbound files: details reach the record
A contract, vendor bill, or receipt added to Amazon S3 with its details can create or update the matching record in Logiwa WMS, so a document captured outside the finance system still reaches the books.
What you can sync between Amazon 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.
| Amazon S3 objects | Logiwa WMS objects | How this pairing syncs | |
|---|---|---|---|
| Object metadata System metadata (Content-Type, size, ETag, LastModified) plus user-defined x-amz-meta-* headers; user metadata is fixed at write time and only changeable by rewriting the object. | Shipments Carrier, tracking, and ship-confirm data pushed back to order sources after dispatch. | Object metadata is specific to Amazon S3 and Shipments to Logiwa WMS — each maps to any object or custom field on the other side. | |
| Object tags Up to 10 key-value tags per object, mutable in place via the tagging API independent of content, so classification and retention labels sync two-way without rewriting files. | Warehouses & Locations Facility and bin structure referenced when mapping multi-warehouse inventory. | Object tags is specific to Amazon S3 and Warehouses & Locations to Logiwa WMS — each maps to any object or custom field on the other side. | |
| Object versions When bucket versioning is enabled every write creates a new version ID; prior versions and delete markers are readable for history and audit syncs. | Clients 3PL client accounts used to scope orders and inventory in multi-client deployments. | Object versions is specific to Amazon S3 and Clients to Logiwa WMS — each maps to any object or custom field on the other side. | |
| Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. | Returns Return receipts synced so ERPs and support tools reflect restocked inventory. | Prefixes (folders) is specific to Amazon S3 and Returns to Logiwa WMS — each maps to any object or custom field on the other side. | |
| Multipart uploads In-progress large-object uploads assembled from parts; objects above ~100 MB (required above 5 GB) are written this way, and incomplete uploads persist until completed or aborted. | Shipment Orders Outbound fulfillment orders created from connected storefronts or an OMS and updated as they move through picking and packing. | Multipart uploads is specific to Amazon S3 and Shipment Orders to Logiwa WMS — each maps to any object or custom field on the other side. | |
| Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. | Purchase Orders Inbound receipt expectations synced from the ERP or procurement system to drive receiving. | Buckets is specific to Amazon S3 and Purchase Orders to Logiwa WMS — each maps to any object or custom field on the other side. |
How changes propagate between Amazon S3 and Logiwa 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 S3 Logiwa WMS Sub-second propagation
DetectionAmazon S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge.
DeliveryEach detected change is written to Logiwa WMS through its API, with automatic retries and rate-limit backoff.
Logiwa WMS Amazon S3 Interval-based propagation
DetectionStacksync polls Logiwa WMS for changes on an incremental schedule, reading only records changed since the previous pass. Polling on order and inventory endpoints using modified timestamps, subject to the platform's API rate limits.
DeliveryEach detected change is written to Amazon S3 through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Amazon S3: S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
- Logiwa WMS: Subject to the platform's published API rate limits.
What ships with Amazon S3 ⇄ Logiwa WMS
Connect Amazon S3 and Logiwa WMS for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Logiwa WMS connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon 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 Amazon S3 or Logiwa WMS record.
Observability
Monitoring
Track your Amazon 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 Amazon S3 and Logiwa WMS.
How the Amazon S3 and Logiwa WMS connectors work
Amazon S3
- Integration surface
- S3 REST API (also via AWS SDKs and the S3-compatible endpoint)
- Authentication
- AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles
- Change detection
- S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge; there is no modified-since query, so polling relies on each object's LastModified from ListObjectsV2
- Capabilities
- read · write · webhooks
- Rate limits
- S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
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 Amazon 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.
- 01
Connect your apps
Authenticate Amazon 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.
Amazon S3
connected
Logiwa WMS
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon 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.
objects · Amazon S3 ⇄ Logiwa WMSCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Amazon S3 Logiwa WMSCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon S3 and Logiwa WMS integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and Logiwa WMS: authenticate both systems, choose the objects to sync (such as Amazon S3's Object metadata and Object tags), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Change detection on Amazon S3: S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge; there is no modified-since query, so polling relies on each object's LastModified from ListObjectsV2. On Logiwa WMS: Polling on order and inventory endpoints using modified timestamps, subject to the platform's API rate limits. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Logiwa WMS side: Inventory, Products (SKUs), Shipments, Warehouses & Locations, plus custom fields where Logiwa WMS exposes them. On the Amazon S3 side: Object tags, Object versions, Prefixes (folders), Multipart uploads. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Amazon S3 and Logiwa WMS: Documents filed with their context; Metadata that files itself; Where Amazon S3 captures inbound files: details reach the record. Files that Logiwa WMS produces land in Amazon S3 labeled with the customer, document type, and reference number they belong to, so the right copy is one search away instead of buried in a folder.
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Amazon S3: S3 REST API (also via AWS SDKs and the S3-compatible endpoint). Authentication: AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles. Logiwa WMS: REST API. Authentication: API key / token. Stacksync manages authentication, retries, and rate limits on both sides.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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 395 integrations available for Amazon S3 and Logiwa WMS.
Popular · 5 of 395
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Amazon S3 ⇄ Linnworks -
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Logiwa WMS ⇄ Egnyte -
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Logiwa WMS ⇄ Sharepoint
No integrations match .
