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Database ⇄ E-commerce

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

Keep AWS Aurora PostgreSQL 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

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Why teams connect AWS Aurora PostgreSQL and Shopware

Give your engineers Shopware's products, orders, and customers in AWS Aurora PostgreSQL: 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 Sales Channels, Media, Products, Categories from Shopware into AWS Aurora PostgreSQL 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 PostgreSQL, 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 Sync JSONB-heavy application data into structured objects in downstream business systems.
  • 02 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
  • 03 Write tracking numbers and delivery state onto `order_delivery` from a 3PL or WMS so storefront order status reflects fulfillment.
  • 04 Consolidate orders and customers from multiple `sales_channel` storefronts into one Postgres database for cross-channel analysis.

Common sync patterns

Keep catalog and inventory current

Prices, stock levels, or product details maintained in AWS Aurora PostgreSQL sync back onto Shopware, so the storefront shows what your systems treat as true.

Order data where your code can use it

Orders and their status become rows in AWS Aurora PostgreSQL for routing, fulfillment, and reporting, without polling the platform.

Controlled write-back

Choose exactly which tables and fields may flow from AWS Aurora PostgreSQL back into Shopware, keeping the store authoritative on what it owns.

What you can sync between AWS Aurora PostgreSQL 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 PostgreSQL objects Shopware objects How this pairing syncs
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. 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. Views and materialized views is specific to AWS Aurora PostgreSQL and Products to Shopware — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Categories The navigation and catalogue tree (`category`); mapped to product taxonomy in a warehouse or written from a PIM. Foreign keys is specific to AWS Aurora PostgreSQL and Categories to Shopware — each maps to any object or custom field on the other side.
Replication slots and publications The logical replication objects that power log-based CDC. Customers Storefront customer accounts (`customer`) with addresses and group; synced two-way with a CRM or support tool. Replication slots and publications is specific to AWS Aurora PostgreSQL and Customers to Shopware — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Orders Order headers (`order`) with totals, state, and sales-channel reference; read out to accounting and written back for status updates. Databases and schemas is specific to AWS Aurora PostgreSQL and Orders to Shopware — each maps to any object or custom field on the other side.
Tables The core sync unit; rows are matched across systems by primary key. Order Line Items Per-order product rows (`order_line_item`); read alongside the order for revenue and fulfillment reporting. Tables is specific to AWS Aurora PostgreSQL and Order Line Items to Shopware — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Order Deliveries Shipping records (`order_delivery`) carrying delivery state and tracking codes; written back from a 3PL or WMS. Rows is specific to AWS Aurora PostgreSQL and Order Deliveries to Shopware — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL 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 PostgreSQL Shopware Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

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

Shopware AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL ⇄ Shopware

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL or Shopware record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL and Shopware.

How the AWS Aurora PostgreSQL and Shopware connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL connected
    Shopware connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL 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 PostgreSQL ⇄ 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 PostgreSQL Shopware
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL 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.

Learn more about security
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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 410 integrations available for AWS Aurora PostgreSQL and Shopware.

Popular · 7 of 410
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