Real-time sync
Changes in Amazon Seller Central or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and SQL Server 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 SQL Server, so SQL Server 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 SQL Server.
Stacksync mirrors Orders, Order Items, Listings / Catalog Items, FBA Inventory from Amazon Seller Central into CDC Change Tables, Stored Procedures, Databases, Schemas in SQL Server 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 SQL Server; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in SQL Server 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 Seller Central objects | SQL Server objects | |
|---|---|---|
| Product Pricing Current price and competitive pricing data read for repricing analysis. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | |
| Orders Order headers pulled into ERP, CRM, or database tables for fulfillment and reporting. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | |
| Order Items Line-level SKU, quantity, and price data joined to orders in downstream systems. | Databases Instance-level databases that scope a sync's reads and writes. | |
| Listings / Catalog Items Product listing content and status, readable and updatable through the Listings and Feeds APIs. | Schemas Namespaces (dbo and custom) used to organize synced tables. | |
| FBA Inventory Fulfillable quantity by SKU, synced out for stock planning and replenishment. | Tables The primary sync target; rows map to records in connected systems. | |
| Shipments Inbound and outbound shipment records used to track fulfillment state. | Views Read-side projections used as outbound sync sources. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–SQL Server connection.
Changes in Amazon Seller Central or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or SQL Server 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 SQL Server record.
Track your Amazon Seller Central ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and SQL Server.
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 SQL Server 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 SQL Server 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 SQL Server — 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.
Change detection on Amazon Seller Central: Historical and incremental syncs (mechanism not further specified). On SQL Server: SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures. 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: Orders, Order Items, Listings / Catalog Items, FBA Inventory, plus custom fields where Amazon Seller Central exposes them. On the SQL Server side: CDC Change Tables, Stored Procedures, Databases, Schemas. 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 SQL Server. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Seller Central and SQL Server: One integration pattern for the whole stack; Read Amazon Seller Central with a query; Automate Amazon Seller Central from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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. SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
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 Seller Central and SQL Server.