Two-way sync
Changes in Bigcommerce or DealCloud instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce and DealCloud in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
DealCloud 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 Activity, Task, User, Deal in DealCloud 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.
An email, phone, or shipping and billing address corrected in either system updates the other, so the next order and the next outreach both use current information.
Lifecycle stage, tier, or account owner set in DealCloud syncs onto the customer record in Bigcommerce, so the buying side can act on how the relationship is classified.
Where DealCloud 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.
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 | DealCloud objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Deal Synced with incremental and full sync. | Variants and SKUs is specific to Bigcommerce and Deal to DealCloud — each maps to any object or custom field on the other side. | |
| Orders V2 Orders API header, line items, and shipping/billing addresses; read into an ERP or accounting system, with status written back. | Company Synced with incremental and full sync. | Orders is specific to Bigcommerce and Company to DealCloud — each maps to any object or custom field on the other side. | |
| Customers V3 customer accounts, customer groups, and addresses; synced two-way with a CRM so storefront and GTM records match. | Contact Synced with incremental and full sync. | Customers is specific to Bigcommerce and Contact to DealCloud — each maps to any object or custom field on the other side. | |
| Categories Catalog V3 category tree; mapped for merchandising and kept aligned with a product master or PIM. | Fund Synced with incremental and full sync. | Categories is specific to Bigcommerce and Fund to DealCloud — each maps to any object or custom field on the other side. | |
| Brands Catalog V3 brand records linked to products; kept aligned with a product master or PIM so brand names and pages stay consistent. | Investment Synced with incremental and full sync. | Brands is specific to Bigcommerce and Investment to DealCloud — 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. | Relationship Synced with incremental and full sync. | Inventory is specific to Bigcommerce and Relationship to DealCloud — 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 DealCloud through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls DealCloud for changes on an incremental schedule, reading only records changed since the previous pass. Incremental via each entry's last-modified timestamp.
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–DealCloud connection.
Changes in Bigcommerce or DealCloud instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce or DealCloud 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 DealCloud record.
Track your Bigcommerce ⇄ DealCloud sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce and DealCloud.
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 DealCloud 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 DealCloud 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 DealCloud: authenticate both systems, choose the objects to sync (such as Bigcommerce's Variants and SKUs and Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Bigcommerce and DealCloud. 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 DealCloud: Incremental via each entry's last-modified timestamp; DealCloud has no universal native change-data-capture, so Stacksync polls modified rows on an interval. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the DealCloud side: Activity, Task, User, Deal, plus custom fields where DealCloud 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.
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 Bigcommerce and DealCloud: Contact and address details stay consistent; Where DealCloud segments customers: status travels to the store record; Where both keep product records: catalog and CRM products aligned. An email, phone, or shipping and billing address corrected in either system updates the other, so the next order and the next outreach both use current information.
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 380 integrations available for Bigcommerce and DealCloud.