Two-way sync
Changes in Bigcommerce or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce and IBM AS/400 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 Brands, Inventory, Price Lists, Shipments from Bigcommerce into IBM AS/400 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 IBM AS/400, 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.
Choose exactly which tables and fields may flow from IBM AS/400 back into Bigcommerce, keeping the store authoritative on what it owns.
Records from Bigcommerce, whether products, orders, customers, or inventory, live in IBM AS/400 as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Bigcommerce API, rate limits, and retries.
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 | IBM AS/400 objects | How this pairing syncs | |
|---|---|---|---|
| Brands Catalog V3 brand records linked to products; kept aligned with a product master or PIM so brand names and pages stay consistent. | Physical files (tables) The Db2 for i tables mapped directly to sync targets. | Brands is specific to Bigcommerce and Physical files (tables) to IBM AS/400 — 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. | Logical files (views) Indexed or filtered views over physical files, usable as read sources. | Inventory is specific to Bigcommerce and Logical files (views) to IBM AS/400 — 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. | Members Sub-partitions of files in legacy applications, flattened or selected during syncs. | Price Lists is specific to Bigcommerce and Members to IBM AS/400 — 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. | Rows / records The unit of read and write, accessed via SQL or record-level access. | Shipments is specific to Bigcommerce and Rows / records to IBM AS/400 — 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. | Journals and journal receivers The change log that enables log-based CDC on journaled files. | Products is specific to Bigcommerce and Journals and journal receivers to IBM AS/400 — each maps to any object or custom field on the other side. | |
| 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. | Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. | Variants and SKUs is specific to Bigcommerce and Data queues to IBM AS/400 — 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 IBM AS/400 as a row-level write, with types converted between the two schemas.
DetectionChanges in IBM AS/400 are captured at the source via change data capture — no polling loop against its API. Journal-based CDC by reading journal receivers on journaled files.
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–IBM AS/400 connection.
Changes in Bigcommerce or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce or IBM AS/400 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 IBM AS/400 record.
Track your Bigcommerce ⇄ IBM AS/400 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce and IBM AS/400.
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 IBM AS/400 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 IBM AS/400 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 IBM AS/400: authenticate both systems, choose the objects to sync (such as Bigcommerce's Brands and Inventory), 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 IBM AS/400 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Bigcommerce–IBM AS/400 integration in-house.
Yes — Stacksync ships production-grade connectors for both Bigcommerce and IBM AS/400. 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 IBM AS/400: Journal-based CDC by reading journal receivers on journaled files; polling 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 IBM AS/400 side: Physical files (tables), Logical files (views), Members, Rows / records, plus custom fields where IBM AS/400 exposes them. On the Bigcommerce side: Brands, Inventory, Price Lists, Shipments. 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 391 integrations available for Bigcommerce and IBM AS/400.