Real-time sync
Changes in Amazon Seller Central or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and Postgres Heroku 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 Postgres Heroku, so Postgres Heroku 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 Postgres Heroku.
Stacksync mirrors Shipments, Financial Events, Returns, Reports from Amazon Seller Central into Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns in Postgres Heroku 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.
Write to the synced tables in Postgres Heroku and Stacksync propagates the change into Amazon Seller Central, replacing custom integration code.
Updates in Amazon Seller Central arrive as row changes in Postgres Heroku, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 | Postgres Heroku objects | |
|---|---|---|
| Listings / Catalog Items Product listing content and status, readable and updatable through the Listings and Feeds APIs. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | |
| FBA Inventory Fulfillable quantity by SKU, synced out for stock planning and replenishment. | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Shipments Inbound and outbound shipment records used to track fulfillment state. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | |
| Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. | Tables Standard Postgres tables; the primary two-way sync target for app data. | |
| Returns Return and refund records routed to support and finance workflows. | Views Read-side projections exposed to outbound syncs. | |
| Reports Asynchronous bulk exports used for large reads (orders, inventory, settlements). | Materialized Views Precomputed result sets synced outward on refresh. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–Postgres Heroku connection.
Changes in Amazon Seller Central or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or Postgres Heroku 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 Postgres Heroku record.
Track your Amazon Seller Central ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and Postgres Heroku.
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 Postgres Heroku 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 Postgres Heroku 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 Postgres Heroku — 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.
Yes — Stacksync ships production-grade connectors for both Amazon Seller Central and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Seller Central: Historical and incremental syncs (mechanism not further specified). On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon Seller Central side: Shipments, Financial Events, Returns, Reports, plus custom fields where Amazon Seller Central exposes them. On the Postgres Heroku side: Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns. Stacksync auto-detects both schemas and converts types between the two systems.
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 Postgres Heroku. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Seller Central and Postgres Heroku: Automate Amazon Seller Central from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in Postgres Heroku and Stacksync propagates the change into Amazon Seller Central, replacing custom integration code.
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 Postgres Heroku.