Skip to content
E-commerce ⇄ Data warehouse

Akeneo to AWS S3 integration — real-time, two-way sync

Keep Akeneo and AWS S3 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 AWS S3

Make AWS S3 the analytics and enrichment layer behind Akeneo: orders, products, and customers stay current in both directions.

AWS S3 is the analytical store where the business joins, models, and reports on its data; Akeneo 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 Object Metadata, Object Versions, Event Notifications, Access Points in AWS S3 with Products, Product models, Categories, Attributes in Akeneo 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 Ingest partner or vendor file drops (CSV, JSON, Parquet) from a bucket into a database or CRM as records.
  • 02 Export synced operational data to S3 as files feeding a data lake or downstream batch jobs.
  • 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

Inventory and order status reconciled

Stock levels and order or fulfillment status move between AWS S3 and Akeneo so counts and states agree across reporting and operations.

One customer master

Where both systems keep customer records, corrections in either propagate to the other so analytics and the storefront share one identity.

Live analytics on store activity

Orders, products, and customer records from Akeneo land in AWS S3 as they change, so dashboards and models read current data instead of last night's export.

What you can sync between Akeneo and AWS S3

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 AWS S3 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. Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. Products is specific to Akeneo and Access Points to AWS S3 — 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. Multipart Uploads The mechanism used to write large export files reliably. Product models is specific to Akeneo and Multipart Uploads to AWS S3 — 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. Buckets Top-level containers a sync targets; region and policy are set at this level. Categories is specific to Akeneo and Buckets to AWS S3 — 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. Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. Attributes is specific to Akeneo and Objects to AWS S3 — 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. Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. Families and family variants is specific to Akeneo and Prefixes to AWS S3 — 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. Object Metadata System and user-defined metadata read alongside object contents. Reference entities and records is specific to Akeneo and Object Metadata to AWS S3 — each maps to any object or custom field on the other side.

How changes propagate between Akeneo and AWS S3

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 AWS S3 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 written to AWS S3 through its API, with automatic retries and rate-limit backoff.

AWS S3 Akeneo Sub-second propagation

DetectionAWS S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge.

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.
  • AWS S3: Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes.
What ships with Akeneo ⇄ AWS S3

Connect Akeneo and AWS S3 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Akeneo–AWS S3 connection.

Real-time

Two-way sync

Changes in Akeneo or AWS S3 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Akeneo or AWS S3 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 AWS S3 record.

Observability

Monitoring

Track your Akeneo ⇄ AWS S3 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 AWS S3.

How the Akeneo and AWS S3 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.

AWS S3

Integration surface
REST API (the S3 API), accessed directly or through AWS SDKs
Authentication
AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
Change detection
S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes
How it works

How to connect Akeneo to AWS S3 — 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 AWS S3 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
    AWS S3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Akeneo and AWS S3 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 ⇄ AWS S3
    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 AWS S3
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Akeneo and AWS S3 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 501 integrations available for Akeneo and AWS S3.

Popular · 8 of 501
Coworkers laughing in front of a laptop in a casual office setting

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