Skip to content
E-commerce ⇄ Database

Akeneo to Google Cloud SQL integration — real-time, two-way sync

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

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Akeneo and Google Cloud SQL

Give your engineers Akeneo's products, orders, and customers in Google Cloud SQL: read them with normal queries, write inventory and prices back through the sync, and skip the storefront API.

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 Products, Product models, Categories, Attributes from Akeneo into Google Cloud SQL and keeps both sides consistent in real time. Whatever Akeneo holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Google Cloud SQL, such as new prices, stock levels, or fulfillment status, sync back into Akeneo 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.

Common use cases

  • 01 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 02 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 03 Write Categories, Families, and Attributes from an ERP or supplier feed into Akeneo to build and maintain catalog structure.
  • 04 Read Reference entities records such as brands and manufacturers into a data warehouse for cross-catalog reporting.

Common sync patterns

Read the store's data with a query

Records from Akeneo, whether products, orders, customers, or inventory, live in Google Cloud SQL as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Akeneo API, rate limits, and retries.

React to store changes

Updates in Akeneo arrive as row changes in Google Cloud SQL, so jobs and triggers can respond the moment an order, price, or stock level changes.

What you can sync between Akeneo and Google Cloud SQL

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.

Akeneo objects Google Cloud SQL objects How this pairing syncs
Products Core catalog records addressed by UUID (recommended) or identifier/SKU; synced two-way with databases, ERPs, and storefronts. Values are scoped per channel and locale. Schemas Namespace tables in PostgreSQL and SQL Server instances. Products is specific to Akeneo and Schemas to Google Cloud SQL — each maps to any object or custom field on the other side.
Product models Parent records for configurable products; hold shared attribute values that cascade to their variant products, synced alongside Products. Tables Mapped directly to sync targets; schema changes can be propagated. Product models is specific to Akeneo and Tables to Google Cloud SQL — each maps to any object or custom field on the other side.
Categories The category tree used to classify products; read out for storefront navigation or written in from an ERP to seed catalog structure. Rows Read and written by primary key during each sync cycle. Categories is specific to Akeneo and Rows to Google Cloud SQL — each maps to any object or custom field on the other side.
Attributes Attribute definitions plus attribute options and groups; describe the shape of product data, usually mastered in Akeneo and read downstream. Views Read-only sources for shaping data before syncing it out. Attributes is specific to Akeneo and Views to Google Cloud SQL — each maps to any object or custom field on the other side.
Families and family variants Templates defining which attributes a product carries and how variants axis out; synced to keep catalog structure consistent across systems. Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Families and family variants is specific to Akeneo and Transaction logs to Google Cloud SQL — each maps to any object or custom field on the other side.
Reference entities and records Structured lookups like brands, manufacturers, or ingredients with their own records (Enterprise Edition); synced two-way or read into a warehouse for reporting. Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Reference entities and records is specific to Akeneo and Instances to Google Cloud SQL — each maps to any object or custom field on the other side.

How changes propagate between Akeneo and Google Cloud SQL

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.

Akeneo Google Cloud SQL Sub-second propagation

DetectionAkeneo notifies Stacksync of record changes through webhook events. Events API webhooks (product.created, product.updated, product.deleted, plus product-model equivalents.

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

Google Cloud SQL Akeneo Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

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

Rate-limit considerations

  • Akeneo: REST protection triggers above roughly 100 requests/second per PIM instance (HTTP 429 with Retry-After); the Events API caps at 4000 requests/hour with a 500ms webhook ack timeout.
  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
What ships with Akeneo ⇄ Google Cloud SQL

Connect Akeneo and Google Cloud SQL for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Akeneo or Google Cloud SQL 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 Akeneo or Google Cloud SQL record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Akeneo and Google Cloud SQL.

How the Akeneo and Google Cloud SQL connectors work

Akeneo

Integration surface
REST API (plus a GraphQL API) and an Events API for webhooks
Authentication
OAuth2 password grant: client_id/secret plus an API user's username/password exchanged at /api/oauth/v1/token for a bearer access_token and refresh_token; Apps use the OAuth2 authorization-code flow
Change detection
Events API webhooks (product.created, product.updated, product.deleted, plus product-model equivalents; product.updated.delta carries old and new values); falls back to polling the 'updated' datetime search filter where the Events API is unavailable
Capabilities
read · write · webhooks
Rate limits
REST protection triggers above roughly 100 requests/second per PIM instance (HTTP 429 with Retry-After); the Events API caps at 4000 requests/hour with a 500ms webhook ack timeout.

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.
How it works

How to connect Akeneo to Google Cloud SQL — 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 Akeneo and Google Cloud SQL 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
    Akeneo connected
    Google Cloud SQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Akeneo and Google Cloud SQL 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 · Akeneo ⇄ Google Cloud SQL
    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
    Akeneo Google Cloud SQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Akeneo and Google Cloud SQL 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
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ 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 393 integrations available for Akeneo and Google Cloud SQL.

Popular · 7 of 393
All Akeneo integrations All Google Cloud SQL integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own