Two-way sync
Changes in Bigcommerce or InterSystems IRIS instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce and InterSystems IRIS in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.
Stacksync mirrors Shipments, Products, Variants and SKUs, Orders from Bigcommerce into InterSystems IRIS and keeps both sides consistent in real time. Whatever Bigcommerce holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in InterSystems IRIS, such as new prices, stock levels, or fulfillment status, sync back into Bigcommerce with its validations respected.
Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.
Updates in Bigcommerce arrive as row changes in InterSystems IRIS, so jobs and triggers can respond the moment an order, price, or stock level changes.
Prices, stock levels, or product details maintained in InterSystems IRIS sync back onto Bigcommerce, so the storefront shows what your systems treat as true.
Orders and their status become rows in InterSystems IRIS for routing, fulfillment, and reporting, without polling the platform.
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 | InterSystems IRIS objects | How this pairing syncs | |
|---|---|---|---|
| Categories Catalog V3 category tree; mapped for merchandising and kept aligned with a product master or PIM. | Schemas Schema organization scopes which tables a sync connection can see. | Categories is specific to Bigcommerce and Schemas to InterSystems IRIS — 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. | Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. | Brands is specific to Bigcommerce and Persistent Classes to InterSystems IRIS — 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. | Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs. | Inventory is specific to Bigcommerce and Globals to InterSystems IRIS — 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. | Namespaces Namespaces partition databases and determine the connection context for integrations. | Price Lists is specific to Bigcommerce and Namespaces to InterSystems IRIS — each maps to any object or custom field on the other side. | |
| Shipments Order shipments with tracking numbers; created in BigCommerce from a 3PL or fulfillment system as packages ship. | Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. | Shipments is specific to Bigcommerce and Stored Procedures to InterSystems IRIS — each maps to any object or custom field on the other side. | |
| 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. | Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. | Products is specific to Bigcommerce and Tables to InterSystems IRIS — 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 applied to InterSystems IRIS as a row-level write, with types converted between the two schemas.
DetectionStacksync polls InterSystems IRIS for changes on an incremental schedule, reading only records changed since the previous pass. Polling (timestamp or query-based).
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–InterSystems IRIS connection.
Changes in Bigcommerce or InterSystems IRIS instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce or InterSystems IRIS 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 InterSystems IRIS record.
Track your Bigcommerce ⇄ InterSystems IRIS sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce and InterSystems IRIS.
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 InterSystems IRIS 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 InterSystems IRIS 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 InterSystems IRIS: authenticate both systems, choose the objects to sync (such as Bigcommerce's Categories and Brands), 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 Bigcommerce and InterSystems IRIS connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Bigcommerce–InterSystems IRIS integration in-house.
Yes — Stacksync ships production-grade connectors for both Bigcommerce and InterSystems IRIS. 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 InterSystems IRIS: Polling (timestamp or query-based); no standard webhook surface. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the InterSystems IRIS side: Views, Schemas, Persistent Classes, Globals, plus custom fields where InterSystems IRIS exposes them. On the Bigcommerce side: Shipments, Products, Variants and SKUs, Orders. 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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 425 integrations available for Bigcommerce and InterSystems IRIS.