Real-time sync
Changes in Amazon Seller Central or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and Google Cloud SQL 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 Google Cloud SQL, so Google Cloud SQL 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 Google Cloud SQL.
Stacksync mirrors Shipments, Financial Events, Returns, Reports from Amazon Seller Central into Views, Transaction logs, Instances, Databases in Google Cloud SQL 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.
Records from Amazon Seller Central are ordinary rows in Google Cloud SQL; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Google Cloud SQL and Stacksync propagates the change into Amazon Seller Central, replacing custom integration code.
Updates in Amazon Seller Central arrive as row changes in Google Cloud SQL, so triggers, jobs, and services can respond in near real time.
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 | Google Cloud SQL objects | |
|---|---|---|
| Listings / Catalog Items Product listing content and status, readable and updatable through the Listings and Feeds APIs. | Views Read-only sources for shaping data before syncing it out. | |
| FBA Inventory Fulfillable quantity by SKU, synced out for stock planning and replenishment. | Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | |
| Shipments Inbound and outbound shipment records used to track fulfillment state. | Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. | |
| Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. | Databases Scope the tables included in a sync configuration. | |
| Returns Return and refund records routed to support and finance workflows. | Schemas Namespace tables in PostgreSQL and SQL Server instances. | |
| Reports Asynchronous bulk exports used for large reads (orders, inventory, settlements). | Tables Mapped directly to sync targets; schema changes can be propagated. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–Google Cloud SQL connection.
Changes in Amazon Seller Central or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or Google Cloud SQL 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 Google Cloud SQL record.
Track your Amazon Seller Central ⇄ Google Cloud SQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and Google Cloud SQL.
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 Google Cloud SQL 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 Google Cloud SQL 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 Google Cloud SQL — 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 Google Cloud SQL. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Seller Central and Google Cloud SQL: Read Amazon Seller Central with a query; Automate Amazon Seller Central from your codebase; React to changes as they happen. Records from Amazon Seller Central are ordinary rows in Google Cloud SQL; join them, index them, and use them in application logic without touching the vendor API.
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. Google Cloud SQL: Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management. Authentication: Database credentials; IAM database authentication is available for MySQL and PostgreSQL. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Seller Central: Amazon sets a 6-month expiration on client secrets; regenerate and update the connection every 6 months to avoid sync interruptions. Google Cloud SQL: The Cloud SQL Auth Proxy and language connectors provide IAM-authorized, encrypted connections without allowlisting IPs. Stacksync's field mapping accounts for these differences between Amazon Seller Central and Google Cloud SQL 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 Google Cloud SQL 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.
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 Google Cloud SQL.