Real-time sync
Changes in Amazon Seller Central or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and TimescaleDB 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 TimescaleDB, so TimescaleDB 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 TimescaleDB.
Stacksync mirrors Order Items, Listings / Catalog Items, FBA Inventory, Shipments from Amazon Seller Central into Chunks, Continuous Aggregates, Regular PostgreSQL Tables, Views in TimescaleDB 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 TimescaleDB and Stacksync propagates the change into Amazon Seller Central, replacing custom integration code.
Updates in Amazon Seller Central arrive as row changes in TimescaleDB, 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 | TimescaleDB objects | |
|---|---|---|
| Orders Order headers pulled into ERP, CRM, or database tables for fulfillment and reporting. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Order Items Line-level SKU, quantity, and price data joined to orders in downstream systems. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Listings / Catalog Items Product listing content and status, readable and updatable through the Listings and Feeds APIs. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| FBA Inventory Fulfillable quantity by SKU, synced out for stock planning and replenishment. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Shipments Inbound and outbound shipment records used to track fulfillment state. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. | Views Standard SQL views used to shape or filter data for consumers. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–TimescaleDB connection.
Changes in Amazon Seller Central or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or TimescaleDB 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 TimescaleDB record.
Track your Amazon Seller Central ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and TimescaleDB.
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 TimescaleDB 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 TimescaleDB 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 TimescaleDB — 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.
Change detection on Amazon Seller Central: Historical and incremental syncs (mechanism not further specified). On TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. 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: Order Items, Listings / Catalog Items, FBA Inventory, Shipments, plus custom fields where Amazon Seller Central exposes them. On the TimescaleDB side: Chunks, Continuous Aggregates, Regular PostgreSQL Tables, Views. 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 TimescaleDB. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Seller Central and TimescaleDB: 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 TimescaleDB and Stacksync propagates the change into Amazon Seller Central, replacing custom integration code.
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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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 TimescaleDB.