Two-way sync
Changes in Airtable or Bigcommerce instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable and Bigcommerce 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 Inventory, Price Lists, Shipments, Products from Bigcommerce into Airtable 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 Airtable, 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.
Prices, stock levels, or product details maintained in Airtable sync back onto Bigcommerce, so the storefront shows what your systems treat as true.
Orders and their status become rows in Airtable for routing, fulfillment, and reporting, without polling the platform.
Choose exactly which tables and fields may flow from Airtable back into Bigcommerce, keeping the store authoritative on what it owns.
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.
| Airtable objects | Bigcommerce objects | How this pairing syncs | |
|---|---|---|---|
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | 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 is specific to Airtable and Products to Bigcommerce — each maps to any object or custom field on the other side. | |
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | 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. | Records is specific to Airtable and Variants and SKUs to Bigcommerce — each maps to any object or custom field on the other side. | |
| Fields Typed columns including linked records, lookups, and rollups; computed fields are read-only in syncs. | Orders V2 Orders API header, line items, and shipping/billing addresses; read into an ERP or accounting system, with status written back. | Fields is specific to Airtable and Orders to Bigcommerce — each maps to any object or custom field on the other side. | |
| Views Filtered subsets of a table that can scope which records a sync reads. | Customers V3 customer accounts, customer groups, and addresses; synced two-way with a CRM so storefront and GTM records match. | Views is specific to Airtable and Customers to Bigcommerce — each maps to any object or custom field on the other side. | |
| Linked records Cross-table references that carry relationships between synced tables. | Categories Catalog V3 category tree; mapped for merchandising and kept aligned with a product master or PIM. | Linked records is specific to Airtable and Categories to Bigcommerce — each maps to any object or custom field on the other side. | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | Brands Catalog V3 brand records linked to products; kept aligned with a product master or PIM so brand names and pages stay consistent. | Attachments is specific to Airtable and Brands to Bigcommerce — 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.
DetectionAirtable pushes changes as they happen — webhook events backed by change data capture. Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks).
DeliveryEach detected change is written to Bigcommerce through its API, with automatic retries and rate-limit backoff.
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 Airtable through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–Bigcommerce connection.
Changes in Airtable or Bigcommerce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or Bigcommerce data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Airtable or Bigcommerce record.
Track your Airtable ⇄ Bigcommerce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and Bigcommerce.
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 Airtable and Bigcommerce 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 Airtable and Bigcommerce 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 Airtable and Bigcommerce: authenticate both systems, choose the objects to sync (such as Airtable's Tables and Records), 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 Airtable and Bigcommerce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Airtable–Bigcommerce integration in-house.
Yes — Stacksync ships production-grade connectors for both Airtable and Bigcommerce. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Airtable: Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks); formula fields don't emit change events and are re-synced every hour. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Airtable side: Fields, Views, Linked records, Attachments, plus custom fields where Airtable exposes them. On the Bigcommerce side: Inventory, Price Lists, Shipments, Products. 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 499 integrations available for Airtable and Bigcommerce.