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E-commerce ⇄ Data warehouse

Akeneo to Apache Druid integration — real-time, two-way sync

Keep Akeneo and Apache Druid 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 Apache Druid

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

Apache Druid 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 Lookups, Tasks, Datasources, Segments in Apache Druid with Channels and locales, Media files, Products, Product models 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 Sync Druid query results into a warehouse to combine real-time aggregates with historical models.
  • 02 Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.
  • 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 product catalog

Where both systems hold product or catalog data, cleaned and enriched attributes stay aligned so the store and the warehouse describe the same items.

Inventory and order status reconciled

Stock levels and order or fulfillment status move between Apache Druid 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.

What you can sync between Akeneo and Apache Druid

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 Apache Druid 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. Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Assets is specific to Akeneo and Metrics to Apache Druid — 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. Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Channels and locales is specific to Akeneo and Ingestion Supervisors to Apache Druid — 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. Lookups Key-value mappings joined at query time, refreshable from external systems. Media files is specific to Akeneo and Lookups to Apache Druid — 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. Tasks Batch ingestion and compaction jobs monitored during data loads. Products is specific to Akeneo and Tasks to Apache Druid — 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. Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Product models is specific to Akeneo and Datasources to Apache Druid — 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. Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Categories is specific to Akeneo and Segments to Apache Druid — each maps to any object or custom field on the other side.

How changes propagate between Akeneo and Apache Druid

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 Apache Druid 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 Apache Druid as a row-level write, with types converted between the two schemas.

Apache Druid Akeneo Interval-based propagation

DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.

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.
  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
What ships with Akeneo ⇄ Apache Druid

Connect Akeneo and Apache Druid for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Akeneo or Apache Druid 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 Apache Druid record.

Observability

Monitoring

Track your Akeneo ⇄ Apache Druid 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 Apache Druid.

How the Akeneo and Apache Druid 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.

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity
How it works

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

    Choose tables

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

Akeneo and Apache Druid 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

Every pair below is a real-time, two-way sync. Search all 398 integrations available for Akeneo and Apache Druid.

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