Two-way sync
Changes in Amazon S3 or Shopify instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon S3 and Shopify in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Shopify holds the customer relationship as structured records; Amazon S3 holds the files that belong to those relationships, from contracts and proposals to signed agreements and statements of work. The two are linked in practice and disconnected in software: someone downloads a document, renames it, and uploads it to the right folder, or exports records out to storage for retention. Done by hand, files drift away from the records they belong to and copies fall out of date.
Stacksync keeps Orders, Customers, Abandoned Checkouts, Products in Shopify aligned with Objects, Object metadata, Object tags, Object versions in Amazon S3, in real time. A new account or deal can open its own folder in Amazon S3; a document filed in Amazon S3 can surface as a link and metadata on the matching record in Shopify; and records from Shopify can be written into Amazon S3 as files or objects for backup, archival, and compliance. You choose which side owns what, and Stacksync keeps the two consistent as either one changes.
Attachments that accumulate against a record in Shopify collect in that customer's folder in Amazon S3, so the full document history lives in one place and is reachable by anyone who needs it.
When an account or deal is created in Shopify, a matching folder or container opens in Amazon S3, named and organized the same way, so files have a home the moment they are needed.
A contract, proposal, or signed agreement filed in Amazon S3 surfaces as a link on the matching record in Shopify, so the customer's paperwork sits with the relationship instead of a shared drive.
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 | Shopify objects | How this pairing syncs | |
|---|---|---|---|
| Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. | Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs. | Buckets is specific to Amazon S3 and Abandoned Checkouts to Shopify — 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. | Products Catalog entries; often mastered in a PIM or ERP and written into Shopify. | Objects is specific to Amazon S3 and Products to Shopify — 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. | ProductMedias Synced with incremental and full sync per the Stacksync docs. | Object metadata is specific to Amazon S3 and ProductMedias to Shopify — 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. | ProductVariants Synced with incremental and full sync per the Stacksync docs. | Object tags is specific to Amazon S3 and ProductVariants to Shopify — 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. | Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting. | Object versions is specific to Amazon S3 and Orders to Shopify — 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. | Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis. | Prefixes (folders) is specific to Amazon S3 and Customers to Shopify — 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 Shopify through its API, with automatic retries and rate-limit backoff.
DetectionShopify notifies Stacksync of record changes through webhook events. Webhook topics per resource, with polling on updated_at as a fallback.
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–Shopify connection.
Changes in Amazon S3 or Shopify instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon S3 or Shopify 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 Shopify record.
Track your Amazon S3 ⇄ Shopify sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon S3 and Shopify.
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 Shopify 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 Shopify 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 Shopify: authenticate both systems, choose the objects to sync (such as Amazon S3's Buckets and Objects), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon S3 and Shopify connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon S3–Shopify integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon S3 and Shopify. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Shopify: Webhook topics per resource, with polling on updated_at as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Shopify side: Orders, Customers, Abandoned Checkouts, Products, plus custom fields where Shopify exposes them. On the Amazon S3 side: Objects, Object metadata, Object tags, Object versions. 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.
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 523 integrations available for Amazon S3 and Shopify.