Production-ready • Full & Incremental sync

Everything You Need to Export Akeneo

From custom enrichers to variant flattening, from multi-channel to incremental sync—every feature built for production scale.

20-30 items/sec throughput

100M+ products supported

10+ enrichers included

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Built for Production Scale

Every feature designed for reliability, performance, and developer experience

10+ Built-in Enrichers

Auto-enrich with categories, attributes, entities, assets, and SEO slugs. Plus custom enrichers for your logic.

Category path resolution

Entity record expansion

Mustache templates & validation

Multi-Channel & Locale

One configuration per scope for clean isolation. Export to separate databases or use custom table names for flexible channel management.

1 configuration = 1 scope

Custom table/collection names

Embedded locale translations

Intelligent Variant Flattening

3-level Akeneo hierarchy automatically flattened. Product Models + variants in one document with zero redundancy.

Smart attribute distribution

Eliminates data duplication

Works with any variant config

Multiple Destinations

MongoDB for denormalized docs, PostgreSQL for hybrid JSONB+relational, or MySQL for traditional SQL. Your choice.

MongoDB with bulk operations

PostgreSQL Hybrid mode

MySQL with JSON columns

Simultaneous exports supported

Incremental Sync

Export only changed products with automatic state tracking. Update databases in seconds, not hours.

Automatic mode detection

Inverse dependency tracking

State tracking per configuration

Production Monitoring

Real-time metrics, error tracking, export reports. Know exactly what's happening with your data.

Product/error/performance metrics

Stage-by-stage timing

Export status tracking

Technical Architecture

Built on Clean Architecture principles with efficiency at its core

Akeneo PIM

• OAuth2 authentication

• Multi-channel support

• Multi-locale support

• Scope/locale filtering

Product Conversion

• Akeneo → Generic format

• Variant flattening (3 → 1 level)

• Smart attribute filtering

• UUID/identifier handling

Enrichment Pipeline

Built-in Enrichers

• CategoryEnricher

• AttributeEnricher

• EntityRecordEnricher

• SlugEnricher

• AssetEnricher

Custom Enrichers

• MustacheEnricher

• ValidationEnricher

• TransformEnricher

• ConditionalEnricher

Pipeline Features

• Sequential execution

• Error continuation

• Custom order

• Localized enrichment

Performance

• Incremental sync

• Reference caching

• 20-30 items/sec

• Large catalog support

MongoDB

• Denormalized documents

• Bulk operations

• Embedded locales

• Atomic writes

PostgreSQL

• JSONB + relational

• Foreign keys

• Hybrid schema

• Analytics-ready

Processing Speed

20-30 items/sec

Memory Usage

Optimized

Catalog Size

Unlimited

Clean Architecture

Use Cases → Adapters → Infrastructure. Dependency injection for testability.

Efficient Processing

Incremental sync with caching. Reference data loaded once. Handle millions of products.

Type-Safe

Full TypeScript coverage. Strict mode enabled. Comprehensive type definitions.

Feature Deep Dives

Technical details for each major capability

Multi-Channel & Multi-Locale Architecture

Each export configuration targets exactly one Akeneo scope (channel). This clean separation gives you two flexible strategies for organizing your data across channels.

1 Configuration = 1 Scope— Clean isolation by design

Strategy A: Database per Scope

Create separate configurations, each targeting a different database.

Physical isolation: ecommerce, b2b

No scope filtering: Queries are simple and fast

Independent scaling: Scale each database separately

Strategy B: Custom Table/Collection Names

Use the same database with prefixed table or collection names.

Custom naming: ecommerce_products, b2b_products

Single database: Simpler infrastructure to manage

Cross-channel queries: Join data when needed

Embedded Locale Translations

Default locale at root: Fast queries without joins

Locale object: All translations in one document

Atomic updates: Product + locales together

Example Document Structure

// Collection: ecommerce_products (or database: ecommerce)
{
  "_id": "nike-air-max",
  "code": "nike-air-max",
  "attributes": {
    "price": { "amount": 129.99, "currency": "USD" }
  },
  "locales": {
    "fr_FR": {
      "attributes": {
        "name": "Nike Air Max 90",
        "description": "Chaussure classique..."
      }
    },
    "de_DE": {
      "attributes": {
        "name": "Nike Air Max 90",
        "description": "Klassischer Schuh..."
      }
    }
  }
}

Built For Real-World Use Cases

From e-commerce to data engineering, see how teams use Akeneo Exporter

E-commerce Storefronts

Export to MongoDB for Next.js/React storefronts. Use enrichers to add SEO slugs, format descriptions, validate completeness.

Key Metrics

40k SKUs exported in 2 min

4x daily updates

Multi-channel pricing

Tech Stack

MongoDBNext.jsIncremental sync

Multi-Tenant SaaS

White-label PIM exporter for agencies. Each client gets isolated database. Custom validation enrichers enforce brand guidelines.

Key Metrics

50+ active tenants

Zero manual config

Physical isolation

Tech Stack

PostgreSQLMySQLDatabase-per-tenantCustom enrichers

Data Engineering Pipelines

Feed data warehouses and analytics platforms. PostgreSQL Hybrid mode splits products and reference data for optimal queries.

Key Metrics

5M products

Daily full export

JSONB + relational

Tech Stack

PostgreSQL HybridScheduled exportsBigQuery integration

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