Two-way sync
Changes in Akeneo or Citus instantly reflect in both systems. No stale data, no manual imports.
Keep Akeneo and Citus in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Reference entities and records, Assets, Channels and locales, Media files from Akeneo into Citus 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 Citus, 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.
Updates in Akeneo arrive as row changes in Citus, so jobs and triggers can respond the moment an order, price, or stock level changes.
Prices, stock levels, or product details maintained in Citus sync back onto Akeneo, so the storefront shows what your systems treat as true.
Orders and their status become rows in Citus for routing, fulfillment, and reporting, without polling the platform.
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 | Citus objects | How this pairing syncs | |
|---|---|---|---|
| Product models Parent records for configurable products; hold shared attribute values that cascade to their variant products, synced alongside Products. | Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Product models is specific to Akeneo and Local tables to Citus — 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 Standard Postgres namespaces used to scope what a sync user can read and write. | Categories is specific to Akeneo and Schemas to Citus — 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. | Views Curated projections over distributed data, often used as read-only sync sources. | Attributes is specific to Akeneo and Views to Citus — 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. | Sequences Key generators that matter when external writes must not collide with application inserts. | Families and family variants is specific to Akeneo and Sequences to Citus — 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. | Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Reference entities and records is specific to Akeneo and Distributed tables to Citus — 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. | Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Assets is specific to Akeneo and Reference tables to Citus — each maps to any object or custom field on the other side. |
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.
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 Citus as a row-level write, with types converted between the two schemas.
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
DeliveryEach detected change is written to Akeneo through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Akeneo–Citus connection.
Changes in Akeneo or Citus instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Akeneo or Citus data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Akeneo or Citus record.
Track your Akeneo ⇄ Citus sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Akeneo and Citus.
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.
Authenticate Akeneo and Citus with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Akeneo and Citus 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Akeneo and Citus: authenticate both systems, choose the objects to sync (such as Akeneo's Product models and Categories), map fields visually, and changes propagate both ways in milliseconds — no code required.
Akeneo: 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. Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). Stacksync manages authentication, retries, and rate limits on both sides.
Citus: Distributed tables are sharded by a declared distribution column, and reference tables are fully replicated to all nodes; the table type changes how writes and joins behave. Akeneo: Product.updated.delta events include both previous and new values, so downstream systems can act on exactly what changed. Stacksync's field mapping accounts for these differences between Akeneo and Citus without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Akeneo and Citus records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Akeneo and Citus connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Akeneo–Citus integration in-house.
Yes — Stacksync ships production-grade connectors for both Akeneo and Citus. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 390 integrations available for Akeneo and Citus.