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E-commerce ⇄ Database

Akeneo to Amazon Aurora integration — real-time, two-way sync

Keep Akeneo and Amazon Aurora 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 Akeneo and Amazon Aurora

Give your engineers Akeneo's products, orders, and customers in Amazon Aurora: 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 Attributes, Families and family variants, Reference entities and records, Assets from Akeneo into Amazon Aurora 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 Amazon Aurora, 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 Consolidate several Aurora clusters into one reporting database.
  • 02 Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
  • 03 Read Reference entities records such as brands and manufacturers into a data warehouse for cross-catalog reporting.
  • 04 Mirror Products and completeness data into a warehouse to track enrichment progress by channel and locale without manual CSV exports.

Common sync patterns

Read the store's data with a query

Records from Akeneo, whether products, orders, customers, or inventory, live in Amazon Aurora 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 Amazon Aurora, so jobs and triggers can respond the moment an order, price, or stock level changes.

What you can sync between Akeneo and Amazon Aurora

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 Amazon Aurora objects How this pairing syncs
Attributes Attribute definitions plus attribute options and groups; describe the shape of product data, usually mastered in Akeneo and read downstream. Views Read-only query-backed sources for downstream syncs. Attributes is specific to Akeneo and Views to Amazon Aurora — 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. Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Families and family variants is specific to Akeneo and Materialized Views to Amazon Aurora — 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. Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Reference entities and records is specific to Akeneo and Columns and Data Types to Amazon Aurora — each maps to any object or custom field on the other side.
Assets Asset-family media (images, documents) managed in Akeneo's DAM; linked to products and synced to storefronts and commerce systems. Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Assets is specific to Akeneo and Primary and Foreign Keys to Amazon Aurora — each maps to any object or custom field on the other side.
Channels and locales Target-market settings that scope attribute values; read to resolve which localized or channel-specific value to map on each side of a sync. Read Replicas Reader endpoints that syncs can target to keep load off the writer. Channels and locales is specific to Akeneo and Read Replicas to Amazon Aurora — each maps to any object or custom field on the other side.
Media files Product images and files uploaded via the media endpoint; referenced by products and pushed to downstream commerce and content systems. Databases Logical databases within a cluster that scope a sync connection. Media files is specific to Akeneo and Databases to Amazon Aurora — each maps to any object or custom field on the other side.

How changes propagate between Akeneo and Amazon Aurora

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 Amazon Aurora 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 Amazon Aurora as a row-level write, with types converted between the two schemas.

Amazon Aurora Akeneo Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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.
  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
What ships with Akeneo ⇄ Amazon Aurora

Connect Akeneo and Amazon Aurora for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Akeneo–Amazon Aurora connection.

Real-time

Two-way sync

Changes in Akeneo or Amazon Aurora instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Akeneo or Amazon Aurora 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 Amazon Aurora record.

Observability

Monitoring

Track your Akeneo ⇄ Amazon Aurora 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 Amazon Aurora.

How the Akeneo and Amazon Aurora 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.

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits
How it works

How to connect Akeneo to Amazon Aurora — 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 Amazon Aurora 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
    Amazon Aurora connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Akeneo and Amazon Aurora 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 ⇄ Amazon Aurora
    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 Amazon Aurora
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Akeneo and Amazon Aurora 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.

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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

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