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E-commerce ⇄ Database

Akeneo to SingleStore integration — real-time, two-way sync

Keep Akeneo and SingleStore 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

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Migrated from MuleSoft
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Why teams connect Akeneo and SingleStore

Give your engineers Akeneo's products, orders, and customers in SingleStore: 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 Families and family variants, Reference entities and records, Assets, Channels and locales from Akeneo into SingleStore 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 SingleStore, 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 Mirror CRM and SaaS objects into SingleStore tables to serve low-latency operational dashboards.
  • 02 Sync results of real-time analytical queries back into business tools where teams act on them.
  • 03 Two-way sync Products and product models with an operational Postgres database or ERP so SKUs, prices, and localized descriptions stay aligned across systems.
  • 04 Push enriched Products and their Assets into an ecommerce storefront or commerce database when product.created and product.updated webhooks fire.

Common sync patterns

Controlled write-back

Choose exactly which tables and fields may flow from SingleStore back into Akeneo, keeping the store authoritative on what it owns.

Read the store's data with a query

Records from Akeneo, whether products, orders, customers, or inventory, live in SingleStore 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.

What you can sync between Akeneo and SingleStore

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 SingleStore objects How this pairing syncs
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. Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. Reference entities and records is specific to Akeneo and Indexes and Shard Keys to SingleStore — 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. Databases The connection target containing the tables a sync addresses. Assets is specific to Akeneo and Databases to SingleStore — 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. Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. Channels and locales is specific to Akeneo and Tables (rowstore and columnstore) to SingleStore — 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. Views Read-only projections used as curated sync sources. Media files is specific to Akeneo and Views to SingleStore — 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. Reference Tables Small tables replicated to every node, often used for dimension data in syncs. Products is specific to Akeneo and Reference Tables to SingleStore — 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. Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. Product models is specific to Akeneo and Pipelines to SingleStore — each maps to any object or custom field on the other side.

How changes propagate between Akeneo and SingleStore

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

SingleStore Akeneo Interval-based propagation

DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or 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.
  • SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
What ships with Akeneo ⇄ SingleStore

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Akeneo or SingleStore 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 SingleStore record.

Observability

Monitoring

Track your Akeneo ⇄ SingleStore 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 SingleStore.

How the Akeneo and SingleStore 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.

SingleStore

Integration surface
SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
Authentication
Database credentials
Change detection
Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by workspace or cluster size
How it works

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

    Choose tables

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

Akeneo and SingleStore 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

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