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Database ⇄ E-commerce

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

Keep AWS Aurora MySQL and Magento 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 Magento

Give your engineers Magento'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 Shipments, Carts / quotes, Products, Configurable / variant products from Magento into AWS Aurora MySQL and keeps both sides consistent in real time. Whatever Magento 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 Magento 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 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • 02 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
  • 03 Sync Orders, invoices, and shipments from Magento into Postgres or a warehouse for revenue, margin, and fulfillment-SLA reporting.
  • 04 Master Products, prices, and Category assignments in an ERP or PIM and write them into Magento's catalog by SKU.

Common sync patterns

React to store changes

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

Keep catalog and inventory current

Prices, stock levels, or product details maintained in AWS Aurora MySQL sync back onto Magento, 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 MySQL for routing, fulfillment, and reporting, without polling the platform.

What you can sync between AWS Aurora MySQL and Magento

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 Magento objects How this pairing syncs
Views Can serve as read-only sync sources for derived or filtered datasets. Invoices Invoice documents tied to orders; read out for finance and revenue recognition, or created via the sales API when billing downstream. Views is specific to AWS Aurora MySQL and Invoices to Magento — 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. Shipments Shipment and tracking records against orders; created or read to drive fulfillment status between Magento and a 3PL/WMS. Foreign keys is specific to AWS Aurora MySQL and Shipments to Magento — 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. Carts / quotes Active and guest carts (quotes) with items and totals; read for abandoned-cart analysis (not available on the Cloud Service subset). Stored procedures and triggers is specific to AWS Aurora MySQL and Carts / quotes to Magento — 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. Products Catalog items keyed by SKU; carry created_at/updated_at for incremental polling and are written two-way from a PIM or ERP into the storefront. Databases (schemas) is specific to AWS Aurora MySQL and Products to Magento — each maps to any object or custom field on the other side.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Configurable / variant products Parent configurable products link to simple product variants by attribute; synced so size/color SKUs and their prices stay aligned with source systems. Tables is specific to AWS Aurora MySQL and Configurable / variant products to Magento — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Categories Catalog tree and product-to-category assignments; written into Magento to control merchandising and read out for taxonomy reporting. Rows is specific to AWS Aurora MySQL and Categories to Magento — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and Magento

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 Magento 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 Magento through its API, with automatic retries and rate-limit backoff.

Magento AWS Aurora MySQL Sub-second propagation

DetectionMagento notifies Stacksync of record changes through webhook events. Polling with searchCriteria filters on updated_at (catalog, sales, and customer entities carry created_at/updated_at).

DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Magento: No fixed request-per-minute cap on PaaS/on-prem; responses page via searchCriteria pageSize/currentPage under a default maximum page size of 300 (Web API Input Limits), with /async/bulk endpoints for large writes.
What ships with AWS Aurora MySQL ⇄ Magento

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Magento 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 Magento 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 Magento record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Magento 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 Magento.

How the AWS Aurora MySQL and Magento 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

Magento

Integration surface
REST and GraphQL Web APIs (SOAP also available)
Authentication
Token-based OAuth: an integration's access token (consumer key/secret + access token/secret) or a Bearer admin token (default 4-hour expiry); Adobe Commerce as a Cloud Service authenticates via Adobe IMS (OAuth 2)
Change detection
Polling with searchCriteria filters on updated_at (catalog, sales, and customer entities carry created_at/updated_at); optional near-real-time via the Adobe Commerce Webhooks / Adobe I/O Events modules (order/created, product/updated, customer/created)
Capabilities
read · write · webhooks
Rate limits
No fixed request-per-minute cap on PaaS/on-prem; responses page via searchCriteria pageSize/currentPage under a default maximum page size of 300 (Web API Input Limits), with /async/bulk endpoints for large writes.
How it works

How to connect AWS Aurora MySQL to Magento — 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 Magento 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
    Magento connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL and Magento 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 ⇄ Magento
    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 Magento
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and Magento 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 408 integrations available for AWS Aurora MySQL and Magento.

Popular · 7 of 408
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