Two-way sync
Changes in Google Cloud Spanner or Shopify instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Spanner and Shopify in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Google Cloud Spanner, where it can be queried and joined like everything else.
Stacksync mirrors ProductMedias, ProductVariants, Orders, Customers from Shopify into Secondary indexes, Change streams, Views, Databases in Google Cloud Spanner with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Shopify with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Field and stage updates in Shopify arrive as row changes in Google Cloud Spanner, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Shopify become tables in Google Cloud Spanner you can join with application data directly.
Signup, usage, or lifecycle changes written to Google Cloud Spanner sync onto the matching records in Shopify, giving go-to-market teams live product context.
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.
| Google Cloud Spanner objects | Shopify objects | How this pairing syncs | |
|---|---|---|---|
| Rows The unit of read and write in each sync cycle, keyed by primary key. | ProductMedias Synced with incremental and full sync per the Stacksync docs. | Rows is specific to Google Cloud Spanner and ProductMedias to Shopify — each maps to any object or custom field on the other side. | |
| Interleaved tables Child rows physically co-located with parents; synced as related records. | ProductVariants Synced with incremental and full sync per the Stacksync docs. | Interleaved tables is specific to Google Cloud Spanner and ProductVariants to Shopify — each maps to any object or custom field on the other side. | |
| Secondary indexes Used to make incremental read queries efficient on non-key columns. | Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting. | Secondary indexes is specific to Google Cloud Spanner and Orders to Shopify — each maps to any object or custom field on the other side. | |
| Change streams Capture inserts, updates, and deletes for log-style change data capture. | Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis. | Change streams is specific to Google Cloud Spanner and Customers to Shopify — each maps to any object or custom field on the other side. | |
| Views Read-only projections useful for shaping data before it leaves Spanner. | Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs. | Views is specific to Google Cloud Spanner and Abandoned Checkouts to Shopify — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope schema and sync configuration. | Products Catalog entries; often mastered in a PIM or ERP and written into Shopify. | Databases is specific to Google Cloud Spanner and Products to Shopify — 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.
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 Shopify through its API, with automatic retries and rate-limit backoff.
DetectionShopify notifies Stacksync of record changes through webhook events. Webhook topics per resource, with polling on updated_at as a fallback.
DeliveryEach detected change is applied to Google Cloud Spanner as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Spanner–Shopify connection.
Changes in Google Cloud Spanner or Shopify instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Spanner or Shopify data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Spanner or Shopify record.
Track your Google Cloud Spanner ⇄ Shopify sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Spanner and Shopify.
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 Google Cloud Spanner and Shopify 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 Google Cloud Spanner and Shopify 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 Google Cloud Spanner and Shopify: authenticate both systems, choose the objects to sync (such as Google Cloud Spanner's Rows and Interleaved tables), 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 Google Cloud Spanner and Shopify connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Spanner–Shopify integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud Spanner and Shopify. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Cloud Spanner: Change streams (log-style CDC), or timestamp-based polling queries. On Shopify: Webhook topics per resource, with polling on updated_at 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 Shopify side: ProductMedias, ProductVariants, Orders, Customers, plus custom fields where Shopify exposes them. On the Google Cloud Spanner side: Secondary indexes, Change streams, Views, Databases. 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 453 integrations available for Google Cloud Spanner and Shopify.