Two-way sync
Changes in AWS S3 or Bigcommerce instantly reflect in both systems. No stale data, no manual imports.
Keep AWS S3 and Bigcommerce in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
AWS S3 is the analytical store where the business joins, models, and reports on its data; Bigcommerce runs the storefront, catalog, and transactions that generate most of it. The overlap is every record that has to be counted and enriched on one side and acted on the other — and when the bridge is a nightly export, the warehouse reports on yesterday while the store operates without the segments and metrics the warehouse just computed.
Stacksync syncs Event Notifications, Access Points, Multipart Uploads, Buckets in AWS S3 with Categories, Brands, Inventory, Price Lists in Bigcommerce field by field, in real time, and in both directions. Transactional records land in the warehouse as they change, computed attributes and cleaned catalog data flow back to the store, and you decide which system owns which fields so Stacksync resolves conflicts by rules you set.
Where both systems keep customer records, corrections in either propagate to the other so analytics and the storefront share one identity.
Orders, products, and customer records from Bigcommerce land in AWS S3 as they change, so dashboards and models read current data instead of last night's export.
Segments, lifetime value, and scores built in AWS S3 write onto the matching records in Bigcommerce, so merchandising and messaging act on warehouse logic.
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 | Bigcommerce objects | How this pairing syncs | |
|---|---|---|---|
| Object Metadata System and user-defined metadata read alongside object contents. | Variants and SKUs Per-variant pricing and inventory; synced to keep stock and SKU data aligned with an ERP or WMS at the option level. | Object Metadata is specific to AWS S3 and Variants and SKUs to Bigcommerce — each maps to any object or custom field on the other side. | |
| Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. | Orders V2 Orders API header, line items, and shipping/billing addresses; read into an ERP or accounting system, with status written back. | Object Versions is specific to AWS S3 and Orders to Bigcommerce — each maps to any object or custom field on the other side. | |
| Event Notifications Notifications on object creation or deletion that trigger incremental processing. | Customers V3 customer accounts, customer groups, and addresses; synced two-way with a CRM so storefront and GTM records match. | Event Notifications is specific to AWS S3 and Customers to Bigcommerce — each maps to any object or custom field on the other side. | |
| Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. | Categories Catalog V3 category tree; mapped for merchandising and kept aligned with a product master or PIM. | Access Points is specific to AWS S3 and Categories to Bigcommerce — each maps to any object or custom field on the other side. | |
| Multipart Uploads The mechanism used to write large export files reliably. | Brands Catalog V3 brand records linked to products; kept aligned with a product master or PIM so brand names and pages stay consistent. | Multipart Uploads is specific to AWS S3 and Brands to Bigcommerce — each maps to any object or custom field on the other side. | |
| Buckets Top-level containers a sync targets; region and policy are set at this level. | Inventory Product- or variant-level stock, plus multi-location counts via the V3 Inventory API; written from a WMS to reflect on-hand quantities. | Buckets is specific to AWS S3 and Inventory to Bigcommerce — 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.
DetectionAWS S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge.
DeliveryEach detected change is written to Bigcommerce through its API, with automatic retries and rate-limit backoff.
DetectionBigcommerce notifies Stacksync of record changes through webhook events. Webhooks push near-real-time events (store/order/*, store/product/*, store/customer/* and more).
DeliveryEach detected change is written to AWS S3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Bigcommerce connection.
Changes in AWS S3 or Bigcommerce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS S3 or Bigcommerce data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS S3 or Bigcommerce record.
Track your AWS S3 ⇄ Bigcommerce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS S3 and Bigcommerce.
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 AWS S3 and Bigcommerce 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 AWS S3 and Bigcommerce 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 AWS S3 and Bigcommerce: authenticate both systems, choose the objects to sync (such as AWS S3's Object Metadata and Object Versions), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 AWS S3 and Bigcommerce: One customer master; Live analytics on store activity; Where Bigcommerce accepts writes: push computed attributes back. Where both systems keep customer records, corrections in either propagate to the other so analytics and the storefront share one identity.
AWS S3: 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. Bigcommerce: REST Management API (V2 and V3), plus GraphQL Storefront and Admin APIs. Authentication: OAuth API account credentials — a store-generated client ID and permanent access token sent in the X-Auth-Token header, limited to the OAuth scopes granted when the account is created (e.g. store_v2_orders, store_v2_products). Stacksync manages authentication, retries, and rate limits on both sides.
AWS S3: Event notifications fire on object-level operations and deliver to SQS, SNS, Lambda, or EventBridge, which is the standard way to drive event-based file processing. Bigcommerce: Rate-limit quota refreshes every 30 seconds rather than continuously, so a burst of order events during a sale can exhaust the window. Stacksync's field mapping accounts for these differences between AWS S3 and Bigcommerce 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 AWS S3 and Bigcommerce records are not retained after a sync operation.
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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 501 integrations available for AWS S3 and Bigcommerce.