Real-time sync
Changes in Amazon Seller Central or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and SingleStore 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 SingleStore, so SingleStore 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 SingleStore.
Stacksync mirrors Reports, Feeds, Product Pricing, Orders from Amazon Seller Central into Tables (rowstore and columnstore), Views, Reference Tables, Pipelines in SingleStore 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 SingleStore and Stacksync propagates the change into Amazon Seller Central, replacing custom integration code.
Updates in Amazon Seller Central arrive as row changes in SingleStore, 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 | SingleStore objects | |
|---|---|---|
| Orders Order headers pulled into ERP, CRM, or database tables for fulfillment and reporting. | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | |
| Order Items Line-level SKU, quantity, and price data joined to orders in downstream systems. | Databases The connection target containing the tables a sync addresses. | |
| Listings / Catalog Items Product listing content and status, readable and updatable through the Listings and Feeds APIs. | Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | |
| FBA Inventory Fulfillable quantity by SKU, synced out for stock planning and replenishment. | Views Read-only projections used as curated sync sources. | |
| Shipments Inbound and outbound shipment records used to track fulfillment state. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | |
| Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–SingleStore connection.
Changes in Amazon Seller Central or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or SingleStore 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 SingleStore record.
Track your Amazon Seller Central ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and SingleStore.
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 SingleStore 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 SingleStore 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 SingleStore — 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: Reports, Feeds, Product Pricing, Orders, plus custom fields where Amazon Seller Central exposes them. On the SingleStore side: Tables (rowstore and columnstore), Views, Reference Tables, Pipelines. 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 SingleStore. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Seller Central and SingleStore: 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 SingleStore 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. SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Seller Central: Event notifications are delivered via Amazon SQS or EventBridge, not conventional HTTP webhooks, so consumers need an AWS-side subscription. SingleStore: Its universal storage combines rowstore and columnstore characteristics, letting the same tables serve transactional lookups and analytical scans. Stacksync's field mapping accounts for these differences between Amazon Seller Central and SingleStore 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.
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 SingleStore.