Two-way sync
Changes in Amazon Aurora or Magento instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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.
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 Inventory source items (MSI), Invoices, Shipments, Carts / quotes from Magento into Amazon Aurora 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 Amazon Aurora, 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.
Choose exactly which tables and fields may flow from Amazon Aurora back into Magento, keeping the store authoritative on what it owns.
Records from Magento, whether products, orders, customers, or inventory, live in Amazon Aurora as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Magento 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 Aurora objects | Magento objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Shipments Shipment and tracking records against orders; created or read to drive fulfillment status between Magento and a 3PL/WMS. | Materialized Views is specific to Amazon Aurora and Shipments to Magento — each maps to any object or custom field on the other side. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Carts / quotes Active and guest carts (quotes) with items and totals; read for abandoned-cart analysis (not available on the Cloud Service subset). | Columns and Data Types is specific to Amazon Aurora and Carts / quotes to Magento — each maps to any object or custom field on the other side. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | 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. | Primary and Foreign Keys is specific to Amazon Aurora and Products to Magento — each maps to any object or custom field on the other side. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | 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. | Read Replicas is specific to Amazon Aurora and Configurable / variant products to Magento — each maps to any object or custom field on the other side. | |
| Databases Logical databases within a cluster that scope a sync connection. | Categories Catalog tree and product-to-category assignments; written into Magento to control merchandising and read out for taxonomy reporting. | Databases is specific to Amazon Aurora and Categories to Magento — each maps to any object or custom field on the other side. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Orders Sales orders with line items, totals, and status; typically read out of Magento into a warehouse or ERP for fulfillment and revenue reporting. | Schemas is specific to Amazon Aurora and Orders to Magento — 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 Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
DeliveryEach detected change is written to Magento through its API, with automatic retries and rate-limit backoff.
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 Amazon Aurora 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 Aurora–Magento connection.
Changes in Amazon Aurora or Magento instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Magento 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 Aurora or Magento record.
Track your Amazon Aurora ⇄ Magento sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Magento.
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 Aurora 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.
Pick the Amazon Aurora 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.
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 Aurora and Magento: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Materialized Views and Columns and Data Types), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Amazon Aurora and Magento: 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 Aurora back into Magento, keeping the store authoritative on what it owns.
Amazon Aurora: MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS. Authentication: Database credentials or IAM database authentication. Magento: 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). Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Aurora: A cluster exposes distinct writer and reader endpoints, and supports multiple read replicas, so sync reads can be isolated from transactional writes. Magento: Webhooks and Adobe I/O Events require installing and configuring the Adobe Commerce eventing modules (AdobeCommerceEventsClient), and events additionally need App Builder — not present on a base install. Stacksync's field mapping accounts for these differences between Amazon Aurora and Magento 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 Aurora and Magento records are not retained after a sync operation.
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 392 integrations available for Amazon Aurora and Magento.