Two-way sync
Changes in Shopware or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Shopware and SQL Server 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 Customers, Orders, Order Line Items, Order Deliveries from Shopware into SQL Server 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 SQL Server, 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.
Updates in Shopware arrive as row changes in SQL Server, so jobs and triggers can respond the moment an order, price, or stock level changes.
Prices, stock levels, or product details maintained in SQL Server sync back onto Shopware, so the storefront shows what your systems treat as true.
Orders and their status become rows in SQL Server 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.
| Shopware objects | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| Sales Channels Per-storefront configuration (`sales_channel`); used to scope and consolidate orders and customers across multiple storefronts. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Sales Channels is specific to Shopware and Primary and Unique Keys to SQL Server — each maps to any object or custom field on the other side. | |
| Media Media assets (`media`) such as product images; referenced by id so file URLs and metadata sync into downstream catalogs. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | Media is specific to Shopware and CDC Change Tables to SQL Server — each maps to any object or custom field on the other side. | |
| 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. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | Products is specific to Shopware and Stored Procedures to SQL Server — each maps to any object or custom field on the other side. | |
| Categories The navigation and catalogue tree (`category`); mapped to product taxonomy in a warehouse or written from a PIM. | Databases Instance-level databases that scope a sync's reads and writes. | Categories is specific to Shopware and Databases to SQL Server — each maps to any object or custom field on the other side. | |
| Customers Storefront customer accounts (`customer`) with addresses and group; synced two-way with a CRM or support tool. | Schemas Namespaces (dbo and custom) used to organize synced tables. | Customers is specific to Shopware and Schemas to SQL Server — each maps to any object or custom field on the other side. | |
| Orders Order headers (`order`) with totals, state, and sales-channel reference; read out to accounting and written back for status updates. | Tables The primary sync target; rows map to records in connected systems. | Orders is specific to Shopware and Tables to SQL Server — 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.
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 SQL Server as a row-level write, with types converted between the two schemas.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
DeliveryEach detected change is written to Shopware through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Shopware–SQL Server connection.
Changes in Shopware or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Shopware or SQL Server data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Shopware or SQL Server record.
Track your Shopware ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Shopware and SQL Server.
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 Shopware and SQL Server 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 Shopware and SQL Server 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 Shopware and SQL Server: authenticate both systems, choose the objects to sync (such as Shopware's Sales Channels and Media), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection 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. On SQL Server: SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the SQL Server side: Stored Procedures, Databases, Schemas, Tables, plus custom fields where SQL Server exposes them. On the Shopware side: Customers, Orders, Order Line Items, Order Deliveries. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Shopware and SQL Server: React to store changes; Keep catalog and inventory current; Order data where your code can use it. Updates in Shopware arrive as row changes in SQL Server, so jobs and triggers can respond the moment an order, price, or stock level changes.
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. SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
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 497 integrations available for Shopware and SQL Server.