Real-time sync
Changes in Amazon Seller Central or MySQL instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and MySQL 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 MySQL, so MySQL always reflects the current state of Amazon Seller Central — without exports, scripts, or schedulers.
Syncing Amazon Seller Central to MySQL lets teams work marketplace data with plain SQL in a database they already run. Amazon Orders and FBA Inventory map to MySQL Tables with proper Columns and keys, so internal tools and reports read from relational data rather than the Selling Partner API.
Stacksync mirrors Returns, Reports, Feeds, Product Pricing from Amazon Seller Central into Triggers, Databases (Schemas), Tables, Views in MySQL 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.
Amazon Orders and Order Items sync into MySQL Tables with primary and unique keys preserved for reliable joins.
FBA Inventory writes to a MySQL Table that replenishment scripts and ERP jobs query directly.
Listings / Catalog Items land with variable attributes stored in MySQL JSON Columns.
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 | MySQL objects | How this pairing syncs | |
|---|---|---|---|
| Order Items Line-level SKU, quantity, and price data joined to orders in downstream systems. | JSON Columns Validated semi-structured payloads for nested SaaS data. | Order Items is specific to Amazon Seller Central and JSON Columns to MySQL — 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. | Stored Procedures Server-side logic that can post-process synced rows. | Listings / Catalog Items is specific to Amazon Seller Central and Stored Procedures to MySQL — 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. | Triggers An alternative change-capture mechanism when binlog access is unavailable. | FBA Inventory is specific to Amazon Seller Central and Triggers to MySQL — each maps to any object or custom field on the other side. | |
| Shipments Inbound and outbound shipment records used to track fulfillment state. | Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Shipments is specific to Amazon Seller Central and Databases (Schemas) to MySQL — 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. | Tables The primary sync target; rows map to records in connected systems. | Financial Events is specific to Amazon Seller Central and Tables to MySQL — each maps to any object or custom field on the other side. | |
| Returns Return and refund records routed to support and finance workflows. | Views Read-side projections used as outbound sync sources. | Returns is specific to Amazon Seller Central and Views to MySQL — each maps to any object or custom field on the other side. |
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.
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 MySQL as a row-level write, with types converted between the two schemas.
DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.
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 MySQL records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–MySQL connection.
Changes in Amazon Seller Central or MySQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or MySQL 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 MySQL record.
Track your Amazon Seller Central ⇄ MySQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and MySQL.
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 MySQL 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 MySQL 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 MySQL — 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.
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 MySQL. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Seller Central and MySQL: Relational order store; Inventory table for operations; Catalog attributes in JSON Columns. Amazon Orders and Order Items sync into MySQL Tables with primary and unique keys preserved for reliable joins.
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. MySQL: SQL wire protocol (MySQL client/server protocol). Authentication: Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host). Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Seller Central: SP-API is the successor to the retired Amazon MWS API and is the current integration surface for Seller Central data. MySQL: Primary keys must be auto-generated (e.g. AUTO_INCREMENT). Stacksync's field mapping accounts for these differences between Amazon Seller Central and MySQL without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Amazon Seller Central and MySQL records are not retained after a sync operation.
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.
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Every pair below is a real-time, two-way sync. Search all 508 integrations available for Amazon Seller Central and MySQL.