Real-time
Two-way sync
Changes in Amazon S3 or Linnworks instantly reflect in both systems. No stale data, no manual imports.
Storage ⇄ ERP
Amazon S3 to Linnworks integration — real-time, two-way sync
Keep Amazon S3 and Linnworks 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon S3 and Linnworks
Move the documents and data that Linnworks produces into Amazon S3 as files, and let files stored in Amazon S3 update the records they belong to in Linnworks, continuously and without exports or manual filing.
Linnworks runs the business on structured records: Stock Items, Stock Levels, Locations, Purchase Orders. Amazon S3 holds files and the metadata that describes them: Object versions, Prefixes (folders), Multipart uploads, Buckets. The two do not share a customer table or an order ledger. What they share is documents. Nearly every record Linnworks 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 Linnworks 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 Stock Items, Stock Levels, Locations, Purchase Orders in Linnworks and Object versions, Prefixes (folders), Multipart uploads, Buckets 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 Linnworks. 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 Linnworks and the file in Amazon S3 never describe two different versions of the same document.
Common use cases
- 01 Keep stock levels consistent between Linnworks and external systems so multichannel listings stay aligned with sellable stock
- 02 Mirror processed orders, refunds, and returns into a warehouse for margin reporting across channels
- 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 Linnworks 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 Linnworks, 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 Linnworks, so a document captured outside the finance system still reaches the books.
What you can sync between Amazon S3 and Linnworks
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 | Linnworks objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Processed Orders Completed orders feed accounting and warehouse-based margin reporting. | Object versions is specific to Amazon S3 and Processed Orders to Linnworks — 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. | Stock Items SKU records keep product data aligned with ERPs and PIMs. | Prefixes (folders) is specific to Amazon S3 and Stock Items to Linnworks — 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. | Stock Levels Per-location quantities sync outward so channels and planning tools reflect current availability. | Multipart uploads is specific to Amazon S3 and Stock Levels to Linnworks — 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. | Locations Warehouse and fulfillment location records scope stock data during mapping. | Buckets is specific to Amazon S3 and Locations to Linnworks — each maps to any object or custom field on the other side. | |
| Objects Files stored under a key; content is read with GET and written with PUT, and each object's key/size/ETag/LastModified is the unit indexed into a database. | Purchase Orders Replenishment POs sync with suppliers and accounting systems. | Objects is specific to Amazon S3 and Purchase Orders to Linnworks — each maps to any object or custom field on the other side. | |
| 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. | Suppliers Vendor records keep procurement data consistent across tools. | Object metadata is specific to Amazon S3 and Suppliers to Linnworks — each maps to any object or custom field on the other side. |
How changes propagate between Amazon S3 and Linnworks
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 Linnworks 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 Linnworks through its API, with automatic retries and rate-limit backoff.
Linnworks Amazon S3 Interval-based propagation
DetectionStacksync polls Linnworks for changes on an incremental schedule, reading only records changed since the previous pass. Polling on order and stock endpoints.
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.
- Linnworks: Per-endpoint rate limits apply on the Linnworks API.
What ships with Amazon S3 ⇄ Linnworks
Connect Amazon S3 and Linnworks for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Linnworks connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon S3 or Linnworks 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 Linnworks record.
Observability
Monitoring
Track your Amazon S3 ⇄ Linnworks 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 Linnworks.
How the Amazon S3 and Linnworks 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.
Linnworks
- Integration surface
- REST API
- Authentication
- Application credentials and an install token exchanged for a session token
- Change detection
- Polling on order and stock endpoints
- Capabilities
- read · write
- Rate limits
- Per-endpoint rate limits apply on the Linnworks API
How it works
How to connect Amazon S3 to Linnworks — 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 Linnworks 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
Linnworks
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon S3 and Linnworks 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 ⇄ LinnworksCustomers 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 LinnworksCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon S3 and Linnworks integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and Linnworks: authenticate both systems, choose the objects to sync (such as Amazon S3's Object versions and Prefixes (folders)), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Common patterns for Amazon S3 and Linnworks: Documents filed with their context; Metadata that files itself; Where Amazon S3 captures inbound files: details reach the record. Files that Linnworks 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.
-
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. Linnworks: REST API. Authentication: Application credentials and an install token exchanged for a session token. Stacksync manages authentication, retries, and rate limits on both sides.
-
Linnworks: Orders are modeled in two populations, open orders and processed orders, and syncs typically treat processing as the state transition that moves a record between them. Amazon S3: S3 stores opaque objects, not rows — there is no schema or query language, so listing is done with ListObjectsV2 (1,000 keys per page) and metadata must be indexed externally to be queryable. Stacksync's field mapping accounts for these differences between Amazon S3 and Linnworks without custom code.
-
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Amazon S3 and Linnworks records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon S3 and Linnworks connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon S3–Linnworks integration in-house.
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 495 integrations available for Amazon S3 and Linnworks.
Popular · 6 of 495
-
Amazon S3 ⇄ Blue Yonder WMS -
Amazon S3 ⇄ Brightpearl -
Amazon S3 ⇄ Cin7 -
Linnworks ⇄ Sharepoint -
Linnworks ⇄ Egnyte -
Linnworks ⇄ Box
No integrations match .
