Two-way sync
Changes in Amazon S3 or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon S3 and Cin7 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Cin7 runs the business on structured records: Contacts, Branches / locations, Stock adjustments and transfers, Credit notes / returns. Amazon S3 holds files and the metadata that describes them: Object metadata, Object tags, Object versions, Prefixes (folders). The two do not share a customer table or an order ledger. What they share is documents. Nearly every record Cin7 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 Cin7 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 Contacts, Branches / locations, Stock adjustments and transfers, Credit notes / returns in Cin7 and Object metadata, Object tags, Object versions, Prefixes (folders) 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 Cin7. 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 Cin7 and the file in Amazon S3 never describe two different versions of the same document.
Record fields from Cin7, 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.
A contract, vendor bill, or receipt added to Amazon S3 with its details can create or update the matching record in Cin7, so a document captured outside the finance system still reaches the books.
As records change in Cin7, the corresponding files and metadata in Amazon S3 are kept in step, so a stored document reflects the latest version rather than a stale one-time export.
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 | Cin7 objects | How this pairing syncs | |
|---|---|---|---|
| Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. | Purchase orders Supplier orders synced with procurement and accounting workflows. | Prefixes (folders) is specific to Amazon S3 and Purchase orders to Cin7 — 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. | Contacts Customers and suppliers, matched to CRM records to keep account data consistent. | Multipart uploads is specific to Amazon S3 and Contacts to Cin7 — 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. | Branches / locations Warehouse entities that scope every stock movement and order allocation. | Buckets is specific to Amazon S3 and Branches / locations to Cin7 — 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. | Stock adjustments and transfers Inventory movements read for audit and reconciliation reporting. | Objects is specific to Amazon S3 and Stock adjustments and transfers to Cin7 — 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. | Credit notes / returns Return documents synced so finance and support see the same refund state. | Object metadata is specific to Amazon S3 and Credit notes / returns to Cin7 — 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. | Products SKU records with options and pricing, synced with storefront and marketplace catalogs. | Object tags is specific to Amazon S3 and Products to Cin7 — each maps to any object or custom field on the other side. |
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.
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 Cin7 through its API, with automatic retries and rate-limit backoff.
DetectionCin7 notifies Stacksync of record changes through webhook events. Polling on modified-date filters.
DeliveryEach detected change is written to Amazon S3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Cin7 connection.
Changes in Amazon S3 or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon S3 or Cin7 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon S3 or Cin7 record.
Track your Amazon S3 ⇄ Cin7 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon S3 and Cin7.
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.
Authenticate Amazon S3 and Cin7 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Amazon S3 and Cin7 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and Cin7: authenticate both systems, choose the objects to sync (such as Amazon S3's Prefixes (folders) and Multipart uploads), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Cin7 side: Contacts, Branches / locations, Stock adjustments and transfers, Credit notes / returns, plus custom fields where Cin7 exposes them. On the Amazon S3 side: Object metadata, Object tags, Object versions, Prefixes (folders). Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Amazon S3 and Cin7: Metadata that files itself; Where Amazon S3 captures inbound files: details reach the record; An archive that stays current. Record fields from Cin7, 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.
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. Cin7: REST API; note that Cin7 Omni and Cin7 Core (formerly DEAR Systems) are separate products with separate APIs. Authentication: API key credentials (paired with a username or account ID, depending on the product). Stacksync manages authentication, retries, and rate limits on both sides.
Cin7: Inventory is modeled per branch/location, so availability syncs choose between per-location and aggregated quantities. Amazon S3: User-defined metadata (x-amz-meta-*) is fixed when an object is written and changing it requires copying the object over itself; only object tags can be updated in place via the tagging API (max 10 tags per object). Stacksync's field mapping accounts for these differences between Amazon S3 and Cin7 without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
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Every pair below is a real-time, two-way sync. Search all 491 integrations available for Amazon S3 and Cin7.