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E-commerce ⇄ Data warehouse

Akeneo to Azure Synapse Analytics integration — real-time, two-way sync

Keep Akeneo and Azure Synapse Analytics 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 Azure Synapse Analytics

Make Azure Synapse Analytics the analytics and enrichment layer behind Akeneo: orders, products, and customers stay current in both directions.

Azure Synapse Analytics 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 SQL pools, Tables (dedicated SQL pool), External tables, Views in Azure Synapse Analytics with Media files, Products, Product models, Categories 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 Load CRM and ERP records into Synapse dedicated SQL pool tables for enterprise reporting.
  • 02 Publish warehouse aggregates (account health scores, LTV) from Synapse back into operational tools like a CRM.
  • 03 Push enriched Products and their Assets into an ecommerce storefront or commerce database when product.created and product.updated webhooks fire.
  • 04 Write Categories, Families, and Attributes from an ERP or supplier feed into Akeneo to build and maintain catalog structure.

Common sync patterns

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 Azure Synapse Analytics as they change, so dashboards and models read current data instead of last night's export.

Where Akeneo accepts writes: push computed attributes back

Segments, lifetime value, and scores built in Azure Synapse Analytics write onto the matching records in Akeneo, so merchandising and messaging act on warehouse logic.

What you can sync between Akeneo and Azure Synapse Analytics

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 Azure Synapse Analytics objects How this pairing syncs
Assets Asset-family media (images, documents) managed in Akeneo's DAM; linked to products and synced to storefronts and commerce systems. Materialized views Precomputed aggregates that speed reads of frequently synced result sets. Assets is specific to Akeneo and Materialized views to Azure Synapse Analytics — 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. SQL pools Dedicated or serverless compute contexts that determine how and where queries run. Channels and locales is specific to Akeneo and SQL pools to Azure Synapse Analytics — 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. Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. Media files is specific to Akeneo and Tables (dedicated SQL pool) to Azure Synapse Analytics — each maps to any object or custom field on the other side.
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. External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. Products is specific to Akeneo and External tables to Azure Synapse Analytics — 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. Views Curated projections used when downstream tools should not read base tables directly. Product models is specific to Akeneo and Views to Azure Synapse Analytics — 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. Schemas Namespaces that separate staging, integration, and presentation layers. Categories is specific to Akeneo and Schemas to Azure Synapse Analytics — each maps to any object or custom field on the other side.

How changes propagate between Akeneo and Azure Synapse Analytics

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 Azure Synapse Analytics 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 Azure Synapse Analytics as a row-level write, with types converted between the two schemas.

Azure Synapse Analytics Akeneo Interval-based propagation

DetectionStacksync polls Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.

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.
What ships with Akeneo ⇄ Azure Synapse Analytics

Connect Akeneo and Azure Synapse Analytics for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Akeneo–Azure Synapse Analytics connection.

Real-time

Two-way sync

Changes in Akeneo or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Akeneo or Azure Synapse Analytics 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 Azure Synapse Analytics record.

Observability

Monitoring

Track your Akeneo ⇄ Azure Synapse Analytics 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 Azure Synapse Analytics.

How the Akeneo and Azure Synapse Analytics 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.

Azure Synapse Analytics

Integration surface
SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint
Authentication
SQL authentication or Microsoft Entra ID
Change detection
Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers
Capabilities
read · write
How it works

How to connect Akeneo to Azure Synapse Analytics — 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 Azure Synapse Analytics 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
    Azure Synapse Analytics connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Akeneo and Azure Synapse Analytics 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 ⇄ Azure Synapse Analytics
    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 Azure Synapse Analytics
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Akeneo and Azure Synapse Analytics 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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