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Data warehouse ⇄ E-commerce

Google Cloud Platform to Magento integration — real-time, two-way sync

Keep Google Cloud Platform and Magento in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Google Cloud Platform and Magento

Make Google Cloud Platform the analytics and enrichment layer behind Magento: orders, products, and customers stay current in both directions.

Google Cloud Platform is the analytical store where the business joins, models, and reports on its data; Magento runs the storefront, catalog, and transactions that generate most of it. The overlap is every record that has to be counted and enriched on one side and acted on the other — and when the bridge is a nightly export, the warehouse reports on yesterday while the store operates without the segments and metrics the warehouse just computed.

Stacksync syncs Firestore documents, Spanner tables, BigQuery datasets, BigQuery tables in Google Cloud Platform with Inventory source items (MSI), Invoices, Shipments, Carts / quotes in Magento field by field, in real time, and in both directions. Transactional records land in the warehouse as they change, computed attributes and cleaned catalog data flow back to the store, and you decide which system owns which fields so Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Publish change events to Pub/Sub so downstream services react to record updates as they happen.
  • 02 Sync Orders, invoices, and shipments from Magento into Postgres or a warehouse for revenue, margin, and fulfillment-SLA reporting.
  • 03 Master Products, prices, and Category assignments in an ERP or PIM and write them into Magento's catalog by SKU.

Common sync patterns

Where Magento accepts writes: push computed attributes back

Segments, lifetime value, and scores built in Google Cloud Platform write onto the matching records in Magento, so merchandising and messaging act on warehouse logic.

One product catalog

Where both systems hold product or catalog data, cleaned and enriched attributes stay aligned so the store and the warehouse describe the same items.

Inventory and order status reconciled

Stock levels and order or fulfillment status move between Google Cloud Platform and Magento so counts and states agree across reporting and operations.

What you can sync between Google Cloud Platform and Magento

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 Platform objects Magento objects How this pairing syncs
Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Configurable / variant products Parent configurable products link to simple product variants by attribute; synced so size/color SKUs and their prices stay aligned with source systems. Spanner tables is specific to Google Cloud Platform and Configurable / variant products to Magento — each maps to any object or custom field on the other side.
BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Categories Catalog tree and product-to-category assignments; written into Magento to control merchandising and read out for taxonomy reporting. BigQuery datasets is specific to Google Cloud Platform and Categories to Magento — each maps to any object or custom field on the other side.
BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Orders Sales orders with line items, totals, and status; typically read out of Magento into a warehouse or ERP for fulfillment and revenue reporting. BigQuery tables is specific to Google Cloud Platform and Orders to Magento — each maps to any object or custom field on the other side.
Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Customers Customer accounts and address book; synced two-way with a CRM so order history and contact records stay consistent. Cloud SQL databases is specific to Google Cloud Platform and Customers to Magento — each maps to any object or custom field on the other side.
Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Inventory source items (MSI) Per-source stock quantities under Multi-Source Inventory; written from a WMS/ERP so storefront stock matches the warehouse. Cloud Storage objects is specific to Google Cloud Platform and Inventory source items (MSI) to Magento — each maps to any object or custom field on the other side.
Pub/Sub topics Event streams used to move change events between systems in near real time. Invoices Invoice documents tied to orders; read out for finance and revenue recognition, or created via the sales API when billing downstream. Pub/Sub topics is specific to Google Cloud Platform and Invoices to Magento — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud Platform and Magento

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.

Google Cloud Platform Magento Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

DeliveryEach detected change is written to Magento through its API, with automatic retries and rate-limit backoff.

Magento Google Cloud Platform Sub-second propagation

DetectionMagento notifies Stacksync of record changes through webhook events. Polling with searchCriteria filters on updated_at (catalog, sales, and customer entities carry created_at/updated_at).

DeliveryEach detected change is applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
  • Magento: No fixed request-per-minute cap on PaaS/on-prem; responses page via searchCriteria pageSize/currentPage under a default maximum page size of 300 (Web API Input Limits), with /async/bulk endpoints for large writes.
What ships with Google Cloud Platform ⇄ Magento

Connect Google Cloud Platform and Magento for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Magento connection.

Real-time

Two-way sync

Changes in Google Cloud Platform or Magento instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud Platform or Magento data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Google Cloud Platform or Magento record.

Observability

Monitoring

Track your Google Cloud Platform ⇄ Magento sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Magento.

How the Google Cloud Platform and Magento connectors work

Google Cloud Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits

Magento

Integration surface
REST and GraphQL Web APIs (SOAP also available)
Authentication
Token-based OAuth: an integration's access token (consumer key/secret + access token/secret) or a Bearer admin token (default 4-hour expiry); Adobe Commerce as a Cloud Service authenticates via Adobe IMS (OAuth 2)
Change detection
Polling with searchCriteria filters on updated_at (catalog, sales, and customer entities carry created_at/updated_at); optional near-real-time via the Adobe Commerce Webhooks / Adobe I/O Events modules (order/created, product/updated, customer/created)
Capabilities
read · write · webhooks
Rate limits
No fixed request-per-minute cap on PaaS/on-prem; responses page via searchCriteria pageSize/currentPage under a default maximum page size of 300 (Web API Input Limits), with /async/bulk endpoints for large writes.
How it works

How to connect Google Cloud Platform to Magento — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Google Cloud Platform and Magento with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Google Cloud Platform connected
    Magento connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud Platform and Magento 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Google Cloud Platform ⇄ Magento
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Google Cloud Platform Magento
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud Platform and Magento integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
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→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 497 integrations available for Google Cloud Platform and Magento.

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