Two-way sync
Changes in Bigcommerce or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce and Google Cloud Spanner 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 Google Cloud Spanner 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 Google Cloud Spanner, 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 Google Cloud Spanner sync back onto Bigcommerce, so the storefront shows what your systems treat as true.
Orders and their status become rows in Google Cloud Spanner for routing, fulfillment, and reporting, without polling the platform.
Choose exactly which tables and fields may flow from Google Cloud Spanner 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.
| Bigcommerce objects | Google Cloud Spanner 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. | Rows The unit of read and write in each sync cycle, keyed by primary key. | Variants and SKUs is specific to Bigcommerce and Rows to Google Cloud Spanner — 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. | Interleaved tables Child rows physically co-located with parents; synced as related records. | Orders is specific to Bigcommerce and Interleaved tables to Google Cloud Spanner — 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. | Secondary indexes Used to make incremental read queries efficient on non-key columns. | Customers is specific to Bigcommerce and Secondary indexes to Google Cloud Spanner — 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. | Change streams Capture inserts, updates, and deletes for log-style change data capture. | Categories is specific to Bigcommerce and Change streams to Google Cloud Spanner — 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. | Views Read-only projections useful for shaping data before it leaves Spanner. | Brands is specific to Bigcommerce and Views to Google Cloud Spanner — 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. | Databases Top-level containers that scope schema and sync configuration. | Inventory is specific to Bigcommerce and Databases to Google Cloud Spanner — 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 Google Cloud Spanner as a row-level write, with types converted between the two schemas.
DetectionChanges in Google Cloud Spanner are captured at the source via change data capture — no polling loop against its API. Change streams (log-style CDC), or timestamp-based polling queries.
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–Google Cloud Spanner connection.
Changes in Bigcommerce or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce or Google Cloud Spanner 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 Google Cloud Spanner record.
Track your Bigcommerce ⇄ Google Cloud Spanner sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce and Google Cloud Spanner.
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 Google Cloud Spanner 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 Google Cloud Spanner 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 Google Cloud Spanner: 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.
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 Google Cloud Spanner: Change streams (log-style CDC), or timestamp-based polling queries. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Google Cloud Spanner side: Tables, Rows, Interleaved tables, Secondary indexes, plus custom fields where Google Cloud Spanner 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.
Common patterns for Bigcommerce and Google Cloud Spanner: Keep catalog and inventory current; Order data where your code can use it; Controlled write-back. Prices, stock levels, or product details maintained in Google Cloud Spanner sync back onto Bigcommerce, so the storefront shows what your systems treat as true.
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). Google Cloud Spanner: GRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects). Authentication: Google Cloud IAM (service accounts). Stacksync manages authentication, retries, and rate limits on both sides.
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 385 integrations available for Bigcommerce and Google Cloud Spanner.