Real-time sync
Changes in Amazon Seller Central or Azure SQL Database instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and Azure SQL Database 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 Azure SQL Database, so Azure SQL Database 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 Azure SQL Database.
Stacksync mirrors Feeds, Product Pricing, Orders, Order Items from Amazon Seller Central into Rows and columns, Stored procedures, Change tracking / CDC tables, Tables in Azure SQL Database 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 Azure SQL Database, 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 Azure SQL Database; 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 | Azure SQL Database objects | |
|---|---|---|
| Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. | Change tracking / CDC tables System-maintained change records used to drive incremental sync. | |
| Returns Return and refund records routed to support and finance workflows. | Tables The primary sync target; rows map one-to-one to records in the paired system. | |
| Reports Asynchronous bulk exports used for large reads (orders, inventory, settlements). | Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | |
| Feeds Asynchronous bulk write channel for price, inventory, and listing updates. | Schemas Namespaces that organize tables and control which objects a sync user can reach. | |
| Product Pricing Current price and competitive pricing data read for repricing analysis. | Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | |
| Orders Order headers pulled into ERP, CRM, or database tables for fulfillment and reporting. | Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–Azure SQL Database connection.
Changes in Amazon Seller Central or Azure SQL Database instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or Azure SQL Database 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 Azure SQL Database record.
Track your Amazon Seller Central ⇄ Azure SQL Database sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and Azure SQL Database.
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 Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database — 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.
Common patterns for Amazon Seller Central and Azure SQL Database: 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 Azure SQL Database, 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. Azure SQL Database: SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers. Authentication: SQL authentication (database credentials) or Microsoft Entra ID authentication. 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. Azure SQL Database: As a managed service, server-level features are constrained compared with a full SQL Server instance, so connectors authenticate to a logical server endpoint rather than an OS-level host. Stacksync's field mapping accounts for these differences between Amazon Seller Central and Azure SQL Database without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Amazon Seller Central and Azure SQL Database records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Seller Central and Azure SQL Database connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Seller Central–Azure SQL Database integration in-house.
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 Azure SQL Database.