Two-way sync
Changes in Amazon RDS or Shopware instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS 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 Categories, Customers, Orders, Order Line Items from Shopware into Amazon RDS 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 Amazon RDS, 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.
Choose exactly which tables and fields may flow from Amazon RDS back into Shopware, keeping the store authoritative on what it owns.
Records from Shopware, whether products, orders, customers, or inventory, live in Amazon RDS 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.
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.
| Amazon RDS objects | Shopware objects | How this pairing syncs | |
|---|---|---|---|
| Columns Field-level mapping targets, typed per the underlying engine. | Categories The navigation and catalogue tree (`category`); mapped to product taxonomy in a warehouse or written from a PIM. | Columns is specific to Amazon RDS and Categories to Shopware — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Customers Storefront customer accounts (`customer`) with addresses and group; synced two-way with a CRM or support tool. | Primary and Unique Keys is specific to Amazon RDS and Customers to Shopware — each maps to any object or custom field on the other side. | |
| Read Replicas Low-impact read endpoints often used as the source side of a sync. | Orders Order headers (`order`) with totals, state, and sales-channel reference; read out to accounting and written back for status updates. | Read Replicas is specific to Amazon RDS and Orders to Shopware — each maps to any object or custom field on the other side. | |
| Stored Procedures Engine-specific logic that can react to synced rows. | Order Line Items Per-order product rows (`order_line_item`); read alongside the order for revenue and fulfillment reporting. | Stored Procedures is specific to Amazon RDS and Order Line Items to Shopware — each maps to any object or custom field on the other side. | |
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | Order Deliveries Shipping records (`order_delivery`) carrying delivery state and tracking codes; written back from a 3PL or WMS. | Databases is specific to Amazon RDS and Order Deliveries to Shopware — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to isolate synced tables. | Order Transactions Payment records (`order_transaction`) holding payment method and state; read to reconcile against a billing or finance system. | Schemas is specific to Amazon RDS 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 Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
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 Amazon RDS as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Shopware connection.
Changes in Amazon RDS or Shopware instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS 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 Amazon RDS or Shopware record.
Track your Amazon RDS ⇄ Shopware sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS 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 Amazon RDS 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 Amazon RDS 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 Amazon RDS and Shopware: authenticate both systems, choose the objects to sync (such as Amazon RDS's Columns and Primary and Unique Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Amazon RDS and Shopware: Controlled write-back; Read the store's data with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from Amazon RDS back into Shopware, keeping the store authoritative on what it owns.
Amazon RDS: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle). Authentication: Database credentials over SSL/TLS, or IAM database authentication on supported engines. 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.
Amazon RDS: IAM database authentication can replace static passwords on supported engines, letting integrations authenticate with short-lived tokens. Shopware: Prices are stored per currency as a nested price array with net and gross values, and products model variants as parent/child rows, so field mappings must handle nested structures. Stacksync's field mapping accounts for these differences between Amazon RDS 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 Amazon RDS and Shopware records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon RDS and Shopware connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon RDS–Shopware integration in-house.
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 412 integrations available for Amazon RDS and Shopware.