Real-time sync
Changes in Amazon Seller Central or Citus instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and Citus 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 Citus, so Citus 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 Citus.
Stacksync mirrors Listings / Catalog Items, FBA Inventory, Shipments, Financial Events from Amazon Seller Central into Reference tables, Local tables, Schemas, Views in Citus 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.
Updates in Amazon Seller Central arrive as row changes in Citus, 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.
Records from Amazon Seller Central are ordinary rows in Citus; join them, index them, and use them in application logic without touching the vendor API.
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 | Citus objects | How this pairing syncs | |
|---|---|---|---|
| Order Items Line-level SKU, quantity, and price data joined to orders in downstream systems. | Views Curated projections over distributed data, often used as read-only sync sources. | Order Items is specific to Amazon Seller Central and Views to Citus — 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. | Sequences Key generators that matter when external writes must not collide with application inserts. | Listings / Catalog Items is specific to Amazon Seller Central and Sequences to Citus — 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. | Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | FBA Inventory is specific to Amazon Seller Central and Distributed tables to Citus — each maps to any object or custom field on the other side. | |
| Shipments Inbound and outbound shipment records used to track fulfillment state. | Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Shipments is specific to Amazon Seller Central and Reference tables to Citus — 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. | Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Financial Events is specific to Amazon Seller Central and Local tables to Citus — each maps to any object or custom field on the other side. | |
| Returns Return and refund records routed to support and finance workflows. | Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Returns is specific to Amazon Seller Central and Schemas to Citus — 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 Citus as a row-level write, with types converted between the two schemas.
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
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 Citus records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–Citus connection.
Changes in Amazon Seller Central or Citus instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or Citus 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 Citus record.
Track your Amazon Seller Central ⇄ Citus sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and Citus.
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 Citus 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 Citus 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 Citus — 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.
On the Amazon Seller Central side: Listings / Catalog Items, FBA Inventory, Shipments, Financial Events, plus custom fields where Amazon Seller Central exposes them. On the Citus side: Reference tables, Local tables, Schemas, 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 Citus. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Seller Central and Citus: React to changes as they happen; One integration pattern for the whole stack; Read Amazon Seller Central with a query. Updates in Amazon Seller Central arrive as row changes in Citus, so triggers, jobs, and services can respond in near real time.
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. Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). 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. Citus: The managed cloud offering is Azure Cosmos DB for PostgreSQL, which is Citus under a Microsoft brand. Stacksync's field mapping accounts for these differences between Amazon Seller Central and Citus without custom 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.
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Every pair below is a real-time, two-way sync. Search all 390 integrations available for Amazon Seller Central and Citus.