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Amazon Seller Central to SQL Server integration — real-time data sync

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.

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Why teams connect Amazon Seller Central and SQL Server

Mirror Amazon Seller Central's data into SQL Server 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 SQL Server, so SQL Server always reflects the current state of Amazon Seller Central — without exports, scripts, or schedulers.

Operations teams sync Amazon Seller Central into SQL Server so marketplace data lives in the relational database their internal systems already query. Orders and FBA Inventory arrive as rows in SQL Server Tables with proper Columns and Primary and Unique Keys, ready for stored procedures, reports, and line-of-business apps.

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.

Common use cases

  • 01 Point existing SQL Server-based reporting at synced Amazon Shipments and Orders data without new API integrations.
  • 02 Enforce data integrity on marketplace records using SQL Server Columns and Primary and Unique Keys.
  • 03 Serve Listings / Catalog Items to internal applications through SQL Server Views.
  • 04 Track price and inventory report changes across marketplaces from one queryable table.

Common sync patterns

Order replication

Amazon Orders and Order Items sync into SQL Server Tables keyed by Primary and Unique Keys for reliable upserts.

Inventory mirror

FBA Inventory levels maintained in SQL Server so internal Views expose current stock to downstream systems.

Finance staging

Amazon Financial Events land in a dedicated Schema for reconciliation queries and reporting jobs.

What you can sync between Amazon Seller Central and SQL Server

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 How this pairing syncs
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. Product Pricing is specific to Amazon Seller Central and CDC Change Tables to SQL Server — each maps to any object or custom field on the other side.
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. Orders is specific to Amazon Seller Central and Stored Procedures to SQL Server — each maps to any object or custom field on the other side.
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. Order Items is specific to Amazon Seller Central and Databases to SQL Server — each maps to any object or custom field on the other side.
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. Listings / Catalog Items is specific to Amazon Seller Central and Schemas to SQL Server — each maps to any object or custom field on the other side.
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. FBA Inventory is specific to Amazon Seller Central and Tables to SQL Server — each maps to any object or custom field on the other side.
Shipments Inbound and outbound shipment records used to track fulfillment state. Views Read-side projections used as outbound sync sources. Shipments is specific to Amazon Seller Central and Views to SQL Server — each maps to any object or custom field on the other side.

How changes propagate between Amazon Seller Central and SQL Server

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.

Amazon Seller Central SQL Server Interval-based propagation

DetectionStacksync polls Amazon Seller Central for changes on an incremental schedule, reading only records changed since the previous pass. Historical and incremental syncs (mechanism not further specified).

DeliveryEach detected change is applied to SQL Server as a row-level write, with types converted between the two schemas.

SQL Server Amazon Seller Central Sub-second propagation

DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).

DeliveryAmazon Seller Central does not accept inbound record writes, so this direction carries requests rather than records: Amazon Seller Central's output flows back as field updates on the originating SQL Server records.

Rate-limit considerations

  • Amazon Seller Central: 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.
  • SQL Server: No API rate limits; throughput depends on instance resources, licensing tier, and connection limits.
What ships with Amazon Seller Central ⇄ SQL Server

Connect Amazon Seller Central and SQL Server for flexible, real-time data sync.

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

Real-time

Real-time sync

Changes in Amazon Seller Central or SQL Server 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 SQL Server 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 SQL Server record.

Observability

Monitoring

Track your Amazon Seller Central ⇄ SQL Server 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 SQL Server.

How the Amazon Seller Central and SQL Server 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

SQL Server

Integration surface
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
Change detection
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
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
SQL Server setup guide
How it works

How to connect Amazon Seller Central to SQL Server — 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 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon Seller Central connected
    SQL Server connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon Seller Central ⇄ SQL Server
    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 SQL Server
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Seller Central and SQL Server integration FAQ

SECURITY

Security teams trust 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.

Learn more about security
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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 501 integrations available for Amazon Seller Central and SQL Server.

Popular · 8 of 501
All Amazon Seller Central integrations All SQL Server integrations Browse all integrations
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