Two-way sync
Changes in Citus or Shopware instantly reflect in both systems. No stale data, no manual imports.
Keep Citus and Shopware 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 Orders, Order Line Items, Order Deliveries, Order Transactions from Shopware into Citus and keeps both sides consistent in real time. Whatever Shopware 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 Shopware 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.
Records from Shopware, whether products, orders, customers, or inventory, live in Citus as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Shopware API, rate limits, and retries.
Updates in Shopware arrive as row changes in Citus, so jobs and triggers can respond the moment an order, price, or stock level changes.
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.
| Citus objects | Shopware objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Categories The navigation and catalogue tree (`category`); mapped to product taxonomy in a warehouse or written from a PIM. | Schemas is specific to Citus and Categories to Shopware — each maps to any object or custom field on the other side. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Customers Storefront customer accounts (`customer`) with addresses and group; synced two-way with a CRM or support tool. | Views is specific to Citus and Customers to Shopware — each maps to any object or custom field on the other side. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Orders Order headers (`order`) with totals, state, and sales-channel reference; read out to accounting and written back for status updates. | Sequences is specific to Citus and Orders to Shopware — each maps to any object or custom field on the other side. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Order Line Items Per-order product rows (`order_line_item`); read alongside the order for revenue and fulfillment reporting. | Distributed tables is specific to Citus and Order Line Items to Shopware — each maps to any object or custom field on the other side. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Order Deliveries Shipping records (`order_delivery`) carrying delivery state and tracking codes; written back from a 3PL or WMS. | Reference tables is specific to Citus and Order Deliveries to Shopware — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Order Transactions Payment records (`order_transaction`) holding payment method and state; read to reconcile against a billing or finance system. | Local tables is specific to Citus and Order Transactions to Shopware — 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.
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 Shopware through its API, with automatic retries and rate-limit backoff.
DetectionShopware notifies Stacksync of record changes through webhook events. App-system webhooks on entity events (product.written, order.written, customer.written) deliver the changed record's primaryKey and updated field.
DeliveryEach detected change is applied to Citus as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Shopware connection.
Changes in Citus or Shopware instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus or Shopware data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Citus or Shopware record.
Track your Citus ⇄ Shopware sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus and Shopware.
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 Citus and Shopware 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 Citus and Shopware 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 Citus and Shopware: authenticate both systems, choose the objects to sync (such as Citus's Schemas and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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). Shopware: Admin API (REST / JSON:API) with a bulk POST /api/_action/sync endpoint. Authentication: OAuth 2.0 — client-credentials grant using an Integration's Access Key ID + Secret Access Key, or resource-owner password grant for a user; access tokens expire after 10 minutes. Stacksync manages authentication, retries, and rate limits on both sides.
Citus: The managed cloud offering is Azure Cosmos DB for PostgreSQL, which is Citus under a Microsoft brand. Shopware: Flow Builder webhook (Call URL) actions are limited to Shopware's higher commercial plans (Evolve/Beyond); the underlying app-system entity webhooks are available to any registered app. Stacksync's field mapping accounts for these differences between Citus and Shopware 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 Citus and Shopware records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and Shopware connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Shopware integration in-house.
Yes — Stacksync ships production-grade connectors for both Citus and Shopware. 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 Citus and Shopware.