Two-way sync
Changes in Akeneo or ClickHouse instantly reflect in both systems. No stale data, no manual imports.
Keep Akeneo and ClickHouse in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ClickHouse 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 Dictionaries, Tables (MergeTree family), Databases, Views in ClickHouse with Reference entities and records, Assets, Channels and locales, Media files 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.
Where both systems hold product or catalog data, cleaned and enriched attributes stay aligned so the store and the warehouse describe the same items.
Stock levels and order or fulfillment status move between ClickHouse and Akeneo so counts and states agree across reporting and operations.
Where both systems keep customer records, corrections in either propagate to the other so analytics and the storefront share one identity.
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 | ClickHouse 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. | Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | Product models is specific to Akeneo and Dictionaries to ClickHouse — 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. | Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Categories is specific to Akeneo and Tables (MergeTree family) to ClickHouse — 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. | Databases Namespaces that group tables and scope permissions for sync users. | Attributes is specific to Akeneo and Databases to ClickHouse — 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. | Views Saved queries used as curated, read-only sync sources. | Families and family variants is specific to Akeneo and Views to ClickHouse — 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. | Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | Reference entities and records is specific to Akeneo and Materialized views to ClickHouse — 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. | Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Assets is specific to Akeneo and Distributed tables to ClickHouse — 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 ClickHouse as a row-level write, with types converted between the two schemas.
DetectionStacksync polls ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.
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–ClickHouse connection.
Changes in Akeneo or ClickHouse instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Akeneo or ClickHouse 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 ClickHouse record.
Track your Akeneo ⇄ ClickHouse sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Akeneo and ClickHouse.
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 ClickHouse 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 ClickHouse 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 ClickHouse: 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.
ClickHouse: It exposes both a native TCP protocol and an HTTP interface, and can additionally speak MySQL and PostgreSQL wire protocols for compatibility with existing drivers. Akeneo: The product endpoint comes in two forms: a UUID variant (recommended, stable) and an identifier/SKU variant; identifiers can change while the UUID never does. Stacksync's field mapping accounts for these differences between Akeneo and ClickHouse 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 ClickHouse records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Akeneo and ClickHouse connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Akeneo–ClickHouse integration in-house.
Yes — Stacksync ships production-grade connectors for both Akeneo and ClickHouse. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Akeneo: 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. On ClickHouse: No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 498 integrations available for Akeneo and ClickHouse.