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

Keep Amazon Seller Central and PostgreSQL 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 PostgreSQL

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

Syncing Amazon Seller Central into PostgreSQL puts marketplace data in a relational database teams control. Amazon Orders, Order Items, and FBA Inventory land in PostgreSQL Tables within dedicated Schemas, so applications and analysts query with SQL instead of the Selling Partner API.

Stacksync mirrors Shipments, Financial Events, Returns, Reports from Amazon Seller Central into Sequences, Custom Types and Enums, Tables, Views in PostgreSQL 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 Back internal dashboards with PostgreSQL Views over Amazon Shipments and Orders.
  • 02 Join Listings / Catalog Items to order rows for SKU-level margin analysis in SQL.
  • 03 Reconcile payouts by querying Financial Events with standard PostgreSQL tooling.
  • 04 Track price and inventory report changes across marketplaces from one queryable table.

Common sync patterns

Normalized order tables

Amazon Orders and Order Items sync into PostgreSQL Tables with primary and unique keys maintained for joins and upserts.

Reporting layer

Materialized Views over synced Orders and Financial Events serve daily sales and settlement reports.

Inventory sync table

FBA Inventory writes into a PostgreSQL Schema consumed by replenishment and pricing services.

What you can sync between Amazon Seller Central and PostgreSQL

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 PostgreSQL objects How this pairing syncs
Returns Return and refund records routed to support and finance workflows. Columns Field-level mapping targets; types are mapped to the connected system's field types. Returns is specific to Amazon Seller Central and Columns to PostgreSQL — each maps to any object or custom field on the other side.
Reports Asynchronous bulk exports used for large reads (orders, inventory, settlements). Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. Reports is specific to Amazon Seller Central and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side.
Feeds Asynchronous bulk write channel for price, inventory, and listing updates. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Feeds is specific to Amazon Seller Central and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side.
Product Pricing Current price and competitive pricing data read for repricing analysis. Sequences Generate surrogate keys for rows created by inbound syncs. Product Pricing is specific to Amazon Seller Central and Sequences to PostgreSQL — 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. Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Orders is specific to Amazon Seller Central and Custom Types and Enums to PostgreSQL — 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. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Order Items is specific to Amazon Seller Central and Tables to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Amazon Seller Central and PostgreSQL

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

PostgreSQL Amazon Seller Central Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

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 PostgreSQL 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.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Amazon Seller Central ⇄ PostgreSQL

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

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

Real-time

Real-time sync

Changes in Amazon Seller Central or PostgreSQL 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 PostgreSQL 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 PostgreSQL record.

Observability

Monitoring

Track your Amazon Seller Central ⇄ PostgreSQL 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 PostgreSQL.

How the Amazon Seller Central and PostgreSQL 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

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

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

    Choose tables

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

Amazon Seller Central and PostgreSQL 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.

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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 507 integrations available for Amazon Seller Central and PostgreSQL.

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