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Database ⇄ E-commerce

AWS Aurora MySQL to Shopware integration — real-time, two-way sync

Keep AWS Aurora MySQL 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora MySQL and Shopware

Give your engineers Shopware's products, orders, and customers in AWS Aurora MySQL: read them with normal queries, write inventory and prices back through the sync, and skip the storefront API.

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 AWS Aurora MySQL 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 AWS Aurora MySQL, 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.

Common use cases

  • 01 Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • 02 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • 03 Stream new `order` records with their `order_line_item`, `order_delivery`, and `order_transaction` rows into a warehouse or accounting system for revenue and fulfillment reporting.
  • 04 Sync `customer` records two-way with a CRM so support and marketing see order history while reps write updates back onto the account.

Common sync patterns

Read the store's data with a query

Records from Shopware, whether products, orders, customers, or inventory, live in AWS Aurora MySQL as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Shopware API, rate limits, and retries.

React to store changes

Updates in Shopware arrive as row changes in AWS Aurora MySQL, so jobs and triggers can respond the moment an order, price, or stock level changes.

What you can sync between AWS Aurora MySQL and Shopware

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.

AWS Aurora MySQL objects Shopware objects How this pairing syncs
Columns MySQL data types are mapped to the paired system's field types during schema setup. Categories The navigation and catalogue tree (`category`); mapped to product taxonomy in a warehouse or written from a PIM. Columns is specific to AWS Aurora MySQL and Categories to Shopware — each maps to any object or custom field on the other side.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Customers Storefront customer accounts (`customer`) with addresses and group; synced two-way with a CRM or support tool. Primary keys and indexes is specific to AWS Aurora MySQL and Customers to Shopware — each maps to any object or custom field on the other side.
Views Can serve as read-only sync sources for derived or filtered datasets. Orders Order headers (`order`) with totals, state, and sales-channel reference; read out to accounting and written back for status updates. Views is specific to AWS Aurora MySQL and Orders to Shopware — each maps to any object or custom field on the other side.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Order Line Items Per-order product rows (`order_line_item`); read alongside the order for revenue and fulfillment reporting. Foreign keys is specific to AWS Aurora MySQL and Order Line Items to Shopware — each maps to any object or custom field on the other side.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Order Deliveries Shipping records (`order_delivery`) carrying delivery state and tracking codes; written back from a 3PL or WMS. Stored procedures and triggers is specific to AWS Aurora MySQL and Order Deliveries to Shopware — each maps to any object or custom field on the other side.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Order Transactions Payment records (`order_transaction`) holding payment method and state; read to reconcile against a billing or finance system. Databases (schemas) is specific to AWS Aurora MySQL and Order Transactions to Shopware — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and Shopware

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.

AWS Aurora MySQL Shopware Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

DeliveryEach detected change is written to Shopware through its API, with automatic retries and rate-limit backoff.

Shopware AWS Aurora MySQL Sub-second propagation

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 AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Shopware: No general throttle on Admin API entity endpoints; Shopware's RateLimiter guards only specific routes (login, oauth, password reset, guest order/contact) and is configurable on self-hosted stores.
What ships with AWS Aurora MySQL ⇄ Shopware

Connect AWS Aurora MySQL and Shopware for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Shopware connection.

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Shopware instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL or Shopware data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single AWS Aurora MySQL or Shopware record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Shopware sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Shopware.

How the AWS Aurora MySQL and Shopware connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

Shopware

Integration surface
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
Change detection
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
Capabilities
read · write · webhooks
Rate limits
No general throttle on Admin API entity endpoints; Shopware's RateLimiter guards only specific routes (login, oauth, password reset, guest order/contact) and is configurable on self-hosted stores
How it works

How to connect AWS Aurora MySQL to Shopware — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate AWS Aurora MySQL 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora MySQL connected
    Shopware connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora MySQL ⇄ Shopware
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS Aurora MySQL Shopware
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and Shopware integration FAQ

SECURITY

Security teams trust Stacksync

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.

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→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 408 integrations available for AWS Aurora MySQL and Shopware.

Popular · 7 of 408
All AWS Aurora MySQL integrations All Shopware integrations Browse all integrations
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