Two-way sync
Changes in Bigcommerce or Shopify instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce 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: the contacts, accounts, and deals a go-to-market team works. Bigcommerce runs the buying side: who placed which order, what they bought, and where it ships. The two describe the same people and companies, and when they are connected only by exports, sales answers questions without recent orders in front of them while the store works from account details that changed weeks ago.
Stacksync links Orders, Customers, Abandoned Checkouts, Products in Shopify to Price Lists, Shipments, Products, Variants and SKUs in Bigcommerce with bi-directional, real-time sync. New customers, order activity, and corrected contact details move in whichever direction you configure, field by field, with conflicts resolved by rules you set. A record created or changed on either side shows up on the other within seconds, with no CSV exports and no nightly job.
The shared entity is the customer, matched on email or an external ID, so both systems agree on who the buyer is and the order history sits next to the relationship instead of in a separate tab.
Where Shopify tracks products or line items and Bigcommerce holds the catalog, shared items are matched on SKU so quotes, deals, and orders reference the same products.
A person who exists as a contact in Shopify and a buyer in Bigcommerce is kept as a single, deduplicated record, so both teams work from the same customer instead of two partial copies.
Orders and their status from Bigcommerce appear on the matching contact or account in Shopify, so reps see what a customer has bought and what is in flight before the next conversation.
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.
| Bigcommerce objects | Shopify objects | How this pairing syncs | |
|---|---|---|---|
| Products Catalog V3 records with custom fields and images; mastered in a PIM or ERP and written to BigCommerce, or read out to a warehouse. | Products Catalog entries; often mastered in a PIM or ERP and written into Shopify. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. Custom fields on either side are included in the mapping. | |
| Orders V2 Orders API header, line items, and shipping/billing addresses; read into an ERP or accounting system, with status written back. | Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Customers V3 customer accounts, customer groups, and addresses; synced two-way with a CRM so storefront and GTM records match. | Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. Custom fields on either side are included in the mapping. | |
| Brands Catalog V3 brand records linked to products; kept aligned with a product master or PIM so brand names and pages stay consistent. | ProductVariants Synced with incremental and full sync per the Stacksync docs. | Brands is specific to Bigcommerce and ProductVariants to Shopify — each maps to any object or custom field on the other side. | |
| Inventory Product- or variant-level stock, plus multi-location counts via the V3 Inventory API; written from a WMS to reflect on-hand quantities. | Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs. | Inventory is specific to Bigcommerce and Abandoned Checkouts to Shopify — each maps to any object or custom field on the other side. | |
| Price Lists V3 price lists and records driving customer-group and B2B pricing; pushed from an ERP so tiered prices stay current. | ProductMedias Synced with incremental and full sync per the Stacksync docs. | Price Lists is specific to Bigcommerce and ProductMedias 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.
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 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 Bigcommerce through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Bigcommerce–Shopify connection.
Changes in Bigcommerce or Shopify instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce 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 Bigcommerce or Shopify record.
Track your Bigcommerce ⇄ Shopify sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce 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 Bigcommerce 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 Bigcommerce 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 Bigcommerce and Shopify: authenticate both systems, choose the objects to sync (such as Bigcommerce's Products and Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Bigcommerce and Shopify records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Bigcommerce and Shopify connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Bigcommerce–Shopify integration in-house.
Yes — Stacksync ships production-grade connectors for both Bigcommerce and Shopify. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Bigcommerce: Webhooks push near-real-time events (store/order/*, store/product/*, store/customer/* and more); polling uses date_modified:min/max filters on Products, Orders, and Customers. 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 Bigcommerce side: Price Lists, Shipments, Products, Variants and SKUs. Stacksync auto-detects both schemas and converts types between the two systems.
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 490 integrations available for Bigcommerce and Shopify.