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Business productivity ⇄ Data warehouse

Amazon Seller Central to MotherDuck integration — real-time data sync

Keep Amazon Seller Central and MotherDuck 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Amazon Seller Central and MotherDuck

Get the data locked inside Amazon Seller Central into MotherDuck as live tables, and send results back where Amazon Seller Central can use them, without writing a pipeline.

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

Teams sync Amazon Seller Central into MotherDuck to make marketplace data analyzable alongside the rest of the warehouse. Amazon Orders, Financial Events, and FBA Inventory land in MotherDuck Tables and Schemas, giving analysts SQL access to channel performance without API exports.

Common use cases

  • 01 Share curated Amazon sales Tables with finance via MotherDuck Database Shares.
  • 02 Analyze marketplace data locally by attaching a local DuckDB database to the synced Schemas.
  • 03 Join Listings / Catalog Items with Orders in SQL to measure per-listing conversion and margin.
  • 04 Land Amazon orders, reports, and settlement data in your warehouse or ERP as they are produced.

Common sync patterns

Sales analytics tables

Amazon Orders and Order Items sync into MotherDuck Tables for revenue, unit, and SKU-level analysis.

Settlement reporting

Amazon Financial Events populate a MotherDuck Schema used to reconcile fees and payouts.

Inventory snapshots

FBA Inventory is captured in Tables and exposed through Views for stock-cover reporting.

What you can sync between Amazon Seller Central and MotherDuck

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 MotherDuck objects How this pairing syncs
Shipments Inbound and outbound shipment records used to track fulfillment state. Views Modeled projections used as outbound sync sources. Shipments is specific to Amazon Seller Central and Views to MotherDuck — each maps to any object or custom field on the other side.
Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. Database Shares Read-only copies of a database shared with other users or teams. Financial Events is specific to Amazon Seller Central and Database Shares to MotherDuck — each maps to any object or custom field on the other side.
Returns Return and refund records routed to support and finance workflows. Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. Returns is specific to Amazon Seller Central and Attached Local DuckDB Databases to MotherDuck — each maps to any object or custom field on the other side.
Reports Asynchronous bulk exports used for large reads (orders, inventory, settlements). Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. Reports is specific to Amazon Seller Central and Databases to MotherDuck — each maps to any object or custom field on the other side.
Feeds Asynchronous bulk write channel for price, inventory, and listing updates. Schemas Namespaces within a database used to organize synced tables. Feeds is specific to Amazon Seller Central and Schemas to MotherDuck — each maps to any object or custom field on the other side.
Product Pricing Current price and competitive pricing data read for repricing analysis. Tables The main landing target for synced records and source for analysis. Product Pricing is specific to Amazon Seller Central and Tables to MotherDuck — each maps to any object or custom field on the other side.

How changes propagate between Amazon Seller Central and MotherDuck

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 MotherDuck 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 MotherDuck as a row-level write, with types converted between the two schemas.

MotherDuck Amazon Seller Central Interval-based propagation

DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

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 MotherDuck 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.
  • MotherDuck: Subject to the platform's compute and concurrency limits rather than per-request API rate limits.
What ships with Amazon Seller Central ⇄ MotherDuck

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

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

Real-time

Real-time sync

Changes in Amazon Seller Central or MotherDuck 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 MotherDuck 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 MotherDuck record.

Observability

Monitoring

Track your Amazon Seller Central ⇄ MotherDuck 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 MotherDuck.

How the Amazon Seller Central and MotherDuck 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

MotherDuck

Integration surface
SQL through DuckDB clients and drivers using a MotherDuck (md:) connection
Authentication
Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults
Change detection
Polling; no log-based CDC or webhook surface is exposed
Capabilities
read · write
Rate limits
Subject to the platform's compute and concurrency limits rather than per-request API rate limits
MotherDuck setup guide
How it works

How to connect Amazon Seller Central to MotherDuck — 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 MotherDuck 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
    MotherDuck connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Seller Central and MotherDuck 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 ⇄ MotherDuck
    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 MotherDuck
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Amazon Seller Central and MotherDuck 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
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:

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 411 integrations available for Amazon Seller Central and MotherDuck.

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