Two-way sync
Changes in Scaleway Postgres or Shopware instantly reflect in both systems. No stale data, no manual imports.
Keep Scaleway Postgres 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 Order Transactions, Sales Channels, Media, Products from Shopware into Scaleway Postgres 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 Scaleway Postgres, 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.
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 Scaleway Postgres, so jobs and triggers can respond the moment an order, price, or stock level changes.
Prices, stock levels, or product details maintained in Scaleway Postgres sync back onto Shopware, so the storefront shows what your systems treat as true.
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.
| Scaleway Postgres objects | Shopware objects | How this pairing syncs | |
|---|---|---|---|
| Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Order Transactions Payment records (`order_transaction`) holding payment method and state; read to reconcile against a billing or finance system. | Tables is specific to Scaleway Postgres and Order Transactions to Shopware — each maps to any object or custom field on the other side. | |
| Views Read-only sources for shaping data before it leaves the database. | Sales Channels Per-storefront configuration (`sales_channel`); used to scope and consolidate orders and customers across multiple storefronts. | Views is specific to Scaleway Postgres and Sales Channels to Shopware — each maps to any object or custom field on the other side. | |
| Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Media Media assets (`media`) such as product images; referenced by id so file URLs and metadata sync into downstream catalogs. | Materialized views is specific to Scaleway Postgres and Media to Shopware — each maps to any object or custom field on the other side. | |
| Schemas Namespace tables so multiple applications or environments can be synced selectively. | Products The product catalog (`product`), including parent/child variants, per-currency nested price arrays, and stock; synced two-way with ERP, PIM, or a database. | Schemas is specific to Scaleway Postgres and Products to Shopware — each maps to any object or custom field on the other side. | |
| Sequences Generate primary keys; sync tooling must respect them when writing rows. | Categories The navigation and catalogue tree (`category`); mapped to product taxonomy in a warehouse or written from a PIM. | Sequences is specific to Scaleway Postgres and Categories to Shopware — each maps to any object or custom field on the other side. | |
| Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Customers Storefront customer accounts (`customer`) with addresses and group; synced two-way with a CRM or support tool. | Columns is specific to Scaleway Postgres and Customers 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 Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Scaleway Postgres–Shopware connection.
Changes in Scaleway Postgres or Shopware instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Scaleway Postgres 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 Scaleway Postgres or Shopware record.
Track your Scaleway Postgres ⇄ Shopware sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Scaleway Postgres 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 Scaleway Postgres 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 Scaleway Postgres 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 Scaleway Postgres and Shopware: authenticate both systems, choose the objects to sync (such as Scaleway Postgres's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Scaleway Postgres: It runs the standard PostgreSQL engine, so ordinary Postgres drivers, ORMs, and SQL tooling work unmodified; managed-service restrictions apply to some server-level features. Shopware: Entity.written webhooks deliver the changed record's primaryKey and the list of updated field names, not the full entity, so the integration fetches details back over the Admin API. Stacksync's field mapping accounts for these differences between Scaleway Postgres 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 Scaleway Postgres and Shopware records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Scaleway Postgres and Shopware connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Scaleway Postgres–Shopware integration in-house.
Yes — Stacksync ships production-grade connectors for both Scaleway Postgres and Shopware. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. On Shopware: App-system webhooks on entity events (product.written, order.written, customer.written) deliver the changed record's primaryKey and updated field names; otherwise poll on the updatedAt / createdAt fields. 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 401 integrations available for Scaleway Postgres and Shopware.