Real-time sync
Changes in Amazon Seller Central or AWS Aurora MySQL instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Updates in Amazon Seller Central arrive as row changes in AWS Aurora MySQL, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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.
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. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–AWS Aurora MySQL connection.
Changes in Amazon Seller Central or AWS Aurora MySQL instantly reflect in both systems. No stale data, no manual imports.
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.
Handle millions of events per minute without losing a single Amazon Seller Central or AWS Aurora MySQL record.
Track your Amazon Seller Central ⇄ AWS Aurora MySQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and AWS Aurora MySQL.
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 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.
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.
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 integration between Amazon Seller Central and AWS Aurora MySQL — Amazon Seller Central is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
On the Amazon Seller Central side: Product Pricing, Orders, Order Items, Listings / Catalog Items, plus custom fields where Amazon Seller Central exposes them. On the AWS Aurora MySQL side: Primary keys and indexes, Views, Foreign keys, Stored procedures and triggers. Stacksync auto-detects both schemas and converts types between the two systems.
Amazon Seller Central is a read-only source, so this integration runs one-way: Stacksync reads from Amazon Seller Central in real time and delivers into AWS Aurora MySQL. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Seller Central and AWS Aurora MySQL: React to changes as they happen; One integration pattern for the whole stack; Read Amazon Seller Central with a query. Updates in Amazon Seller Central arrive as row changes in AWS Aurora MySQL, so triggers, jobs, and services can respond in near real time.
Amazon Seller Central: 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. AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Seller Central: One-way flow only: Amazon to destination systems (no write-back documented). AWS Aurora MySQL: Aurora separates compute from a distributed storage layer that replicates data six ways across three Availability Zones, independent of the instances that CDC readers and sync writers connect to. Stacksync's field mapping accounts for these differences between Amazon Seller Central and AWS Aurora MySQL without custom code.
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.
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Every pair below is a real-time, two-way sync. Search all 386 integrations available for Amazon Seller Central and AWS Aurora MySQL.