Two-way sync
Changes in Akeneo or DuckDB instantly reflect in both systems. No stale data, no manual imports.
Keep Akeneo and DuckDB 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 Assets, Channels and locales, Media files, Products from Akeneo into DuckDB 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 DuckDB, 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.
Prices, stock levels, or product details maintained in DuckDB sync back onto Akeneo, so the storefront shows what your systems treat as true.
Orders and their status become rows in DuckDB for routing, fulfillment, and reporting, without polling the platform.
Choose exactly which tables and fields may flow from DuckDB back into Akeneo, keeping the store authoritative on what it owns.
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 | DuckDB 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. | Attached databases Additional database files or external systems attached into one session for cross-source queries. | Product models is specific to Akeneo and Attached databases to DuckDB — 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. | Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | Categories is specific to Akeneo and Database files to DuckDB — 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. | Schemas Namespaces within a database used to organize tables in sync outputs. | Attributes is specific to Akeneo and Schemas to DuckDB — 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. | Tables Columnar tables created via SQL; the destination for materialized sync data. | Families and family variants is specific to Akeneo and Tables to DuckDB — 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. | Views SQL views used to shape or filter data for downstream consumers. | Reference entities and records is specific to Akeneo and Views to DuckDB — 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. | External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Assets is specific to Akeneo and External files (Parquet/CSV/JSON) to DuckDB — 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 DuckDB as a row-level write, with types converted between the two schemas.
DetectionStacksync polls DuckDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling or full re-reads.
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–DuckDB connection.
Changes in Akeneo or DuckDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Akeneo or DuckDB 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 DuckDB record.
Track your Akeneo ⇄ DuckDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Akeneo and DuckDB.
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 DuckDB 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 DuckDB 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 DuckDB: 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.
Common patterns for Akeneo and DuckDB: Keep catalog and inventory current; Order data where your code can use it; Controlled write-back. Prices, stock levels, or product details maintained in DuckDB sync back onto Akeneo, so the storefront shows what your systems treat as true.
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. DuckDB: In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default. Authentication: None built in; access control is file-system level (MotherDuck adds token auth for its hosted service). Stacksync manages authentication, retries, and rate limits on both sides.
DuckDB: DuckDB runs in-process like SQLite; there is no server, so integrations embed the engine or operate on the single-file databases it produces. 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 DuckDB 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 DuckDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Akeneo and DuckDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Akeneo–DuckDB integration in-house.
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 406 integrations available for Akeneo and DuckDB.