Real-time sync
Changes in Amazon Aurora or Amazon Seller Central instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora and Amazon Seller Central 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 Amazon Aurora, so Amazon Aurora 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 Amazon Aurora.
Stacksync mirrors Order Items, Listings / Catalog Items, FBA Inventory, Shipments from Amazon Seller Central into Read Replicas, Databases, Schemas, Tables in Amazon Aurora 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.
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 Amazon Aurora; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Amazon Aurora and Stacksync propagates the change into Amazon Seller Central, replacing custom integration code.
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 | Amazon Seller Central objects | |
|---|---|---|
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Listings / Catalog Items Product listing content and status, readable and updatable through the Listings and Feeds APIs. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | FBA Inventory Fulfillable quantity by SKU, synced out for stock planning and replenishment. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Shipments Inbound and outbound shipment records used to track fulfillment state. | |
| Databases Logical databases within a cluster that scope a sync connection. | Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Returns Return and refund records routed to support and finance workflows. | |
| Tables Relational tables synced bi-directionally at row level. | Reports Asynchronous bulk exports used for large reads (orders, inventory, settlements). |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Amazon Seller Central connection.
Changes in Amazon Aurora or Amazon Seller Central instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Amazon Seller Central 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 Amazon Seller Central record.
Track your Amazon Aurora ⇄ Amazon Seller Central sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Amazon Seller Central.
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 Amazon Seller Central 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 Amazon Seller Central 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 Aurora and Amazon Seller Central — 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.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Aurora and Amazon Seller Central connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–Amazon Seller Central integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Amazon Seller Central. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. On Amazon Seller Central: Historical and incremental syncs (mechanism not further specified). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon Seller Central side: Order Items, Listings / Catalog Items, FBA Inventory, Shipments, plus custom fields where Amazon Seller Central exposes them. On the Amazon Aurora side: Read Replicas, Databases, Schemas, Tables. 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 Amazon Aurora. Field mapping and monitoring work the same as for two-way pairs.
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 386 integrations available for Amazon Aurora and Amazon Seller Central.