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Amazon Seller Central to AWS Aurora MySQL integration — real-time data sync

Keep Amazon Seller Central and AWS Aurora MySQL 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 Amazon Seller Central and AWS Aurora MySQL

Mirror Amazon Seller Central's data into AWS Aurora MySQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Amazon Seller Central is a read-only source: Stacksync reads its data in real time and delivers it into AWS Aurora MySQL, so AWS Aurora MySQL always reflects the current state of Amazon Seller Central — without exports, scripts, or schedulers.

Engineers integrate with tools like Amazon Seller Central through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in AWS Aurora MySQL.

Stacksync mirrors Product Pricing, Orders, Order Items, Listings / Catalog Items from Amazon Seller Central into Primary keys and indexes, Views, Foreign keys, Stored procedures and triggers in AWS Aurora MySQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Amazon Seller Central, so the tool and the database never disagree.

Common use cases

  • Track price and inventory report changes across marketplaces from one queryable table.
  • Land Amazon orders, reports, and settlement data in your warehouse or ERP as they are produced.
  • Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.

React to changes as they happen

Updates in Amazon Seller Central arrive as row changes in AWS Aurora MySQL, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read Amazon Seller Central with a query

Records from Amazon Seller Central are ordinary rows in AWS Aurora MySQL; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between Amazon Seller Central and AWS Aurora MySQL

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 Seller Central objects AWS Aurora MySQL objects
Order Items Line-level SKU, quantity, and price data joined to orders in downstream systems. Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system.
Listings / Catalog Items Product listing content and status, readable and updatable through the Listings and Feeds APIs. Rows Inserted, updated, and deleted individually or in bulk during two-way syncs.
FBA Inventory Fulfillable quantity by SKU, synced out for stock planning and replenishment. Columns MySQL data types are mapped to the paired system's field types during schema setup.
Shipments Inbound and outbound shipment records used to track fulfillment state. Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient.
Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. Views Can serve as read-only sync sources for derived or filtered datasets.
Returns Return and refund records routed to support and finance workflows. Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere.
What ships with Amazon Seller Central ⇄ AWS Aurora MySQL

Connect Amazon Seller Central and AWS Aurora MySQL for flexible, real-time data sync.

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Seller Central or AWS Aurora MySQL 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 Amazon Seller Central or AWS Aurora MySQL record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and AWS Aurora MySQL.

How the Amazon Seller Central and AWS Aurora MySQL connectors work

Amazon Seller Central

Integration surface
REST API (Selling Partner API, SP-API)
Authentication
SP-API app credentials (LWA client ID/secret, application ID, Merchant ID/Seller ID token, refresh token, region) entered into the Stacksync connection form
Change detection
Historical and incremental syncs (mechanism not further specified)
Capabilities
read
Rate limits
Per-operation token-bucket rate limits; bulk reads and writes should go through the asynchronous Reports and Feeds APIs instead of item-by-item calls
Amazon Seller Central setup guide

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
How it works

How to connect Amazon Seller Central to AWS Aurora MySQL — 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 Amazon Seller Central and AWS Aurora MySQL 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
    Amazon Seller Central connected
    AWS Aurora MySQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Seller Central and AWS Aurora MySQL 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 · Amazon Seller Central ⇄ AWS Aurora MySQL
    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
    Amazon Seller Central AWS Aurora MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Amazon Seller Central and AWS Aurora MySQL integration FAQ

SECURITY

Security teams love 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.

SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ 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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Amazon Seller Central and AWS Aurora MySQL.

Popular · 8 of 386
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