Real-time sync
Changes in Amazon Seller Central or DuckDB instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and DuckDB 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 DuckDB, so DuckDB 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 DuckDB.
Stacksync mirrors Product Pricing, Orders, Order Items, Listings / Catalog Items from Amazon Seller Central into Schemas, Tables, Views, External files (Parquet/CSV/JSON) in DuckDB 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 DuckDB; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in DuckDB and Stacksync propagates the change into Amazon Seller Central, replacing custom integration code.
Updates in Amazon Seller Central arrive as row changes in DuckDB, 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 | DuckDB objects | |
|---|---|---|
| Listings / Catalog Items Product listing content and status, readable and updatable through the Listings and Feeds APIs. | Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | |
| FBA Inventory Fulfillable quantity by SKU, synced out for stock planning and replenishment. | Schemas Namespaces within a database used to organize tables in sync outputs. | |
| Shipments Inbound and outbound shipment records used to track fulfillment state. | Tables Columnar tables created via SQL; the destination for materialized sync data. | |
| Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. | Views SQL views used to shape or filter data for downstream consumers. | |
| Returns Return and refund records routed to support and finance workflows. | External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | |
| Reports Asynchronous bulk exports used for large reads (orders, inventory, settlements). | Attached databases Additional database files or external systems attached into one session for cross-source queries. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–DuckDB connection.
Changes in Amazon Seller Central or DuckDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or DuckDB 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 DuckDB record.
Track your Amazon Seller Central ⇄ DuckDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and DuckDB.
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 DuckDB 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 DuckDB 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 DuckDB — 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 DuckDB: Polling or full re-reads; no change feed or transaction log API. 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: Product Pricing, Orders, Order Items, Listings / Catalog Items, plus custom fields where Amazon Seller Central exposes them. On the DuckDB side: Schemas, Tables, Views, External files (Parquet/CSV/JSON). 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 DuckDB. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Seller Central and DuckDB: 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 DuckDB; 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. DuckDB: In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default. Authentication: None built in; access control is file-system level (MotherDuck adds token auth for its hosted service). 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 DuckDB.