Two-way sync
Changes in Bigcommerce or IBM Db2 instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce and IBM Db2 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 Customers, Categories, Brands, Inventory from Bigcommerce into IBM Db2 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 Db2, 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.
Orders and their status become rows in IBM Db2 for routing, fulfillment, and reporting, without polling the platform.
Choose exactly which tables and fields may flow from IBM Db2 back into Bigcommerce, keeping the store authoritative on what it owns.
Records from Bigcommerce, whether products, orders, customers, or inventory, live in IBM Db2 as ordinary tables or collections, joinable with the rest of your data.
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 Db2 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. | Indexes Support fast key lookups on sync match columns. | Brands is specific to Bigcommerce and Indexes to IBM Db2 — 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. | Stored Procedures Existing business logic sometimes invoked as part of write paths. | Inventory is specific to Bigcommerce and Stored Procedures to IBM Db2 — 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. | Sequences ID generation relevant when external systems insert rows. | Price Lists is specific to Bigcommerce and Sequences to IBM Db2 — 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. | Tablespaces Physical storage layout that operators consider when adding synced tables. | Shipments is specific to Bigcommerce and Tablespaces to IBM Db2 — 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. | Databases The connection target; each database holds the schemas a sync addresses. | Products is specific to Bigcommerce and Databases to IBM Db2 — 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. | Schemas Namespaces separating synced data from application and system objects. | Variants and SKUs is specific to Bigcommerce and Schemas to IBM Db2 — 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 Db2 as a row-level write, with types converted between the two schemas.
DetectionChanges in IBM Db2 are captured at the source via change data capture — no polling loop against its API. Log-based CDC through IBM's replication tooling where licensed.
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 Db2 connection.
Changes in Bigcommerce or IBM Db2 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce or IBM Db2 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 Db2 record.
Track your Bigcommerce ⇄ IBM Db2 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce and IBM Db2.
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 Db2 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 Db2 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 Db2: 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.
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). IBM Db2: SQL via JDBC/ODBC/CLI drivers; optional REST endpoints in some editions. Authentication: Database credentials, typically backed by OS or LDAP authentication. Stacksync manages authentication, retries, and rate limits on both sides.
IBM Db2: Db2 LUW supports both row-organized and column-organized tables, letting the same database serve transactional and analytical access. Bigcommerce: BigCommerce splits its API across V2 and V3 — Orders live largely in V2 while Catalog (Products, Variants, Categories) uses V3 — so a sync must map both surfaces. Stacksync's field mapping accounts for these differences between Bigcommerce and IBM Db2 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 Bigcommerce and IBM Db2 records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Bigcommerce and IBM Db2 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Bigcommerce–IBM Db2 integration in-house.
Yes — Stacksync ships production-grade connectors for both Bigcommerce and IBM Db2. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 410 integrations available for Bigcommerce and IBM Db2.