Real-time sync
Changes in Amazon Seller Central or Apache Cassandra instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and Apache Cassandra 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 Apache Cassandra, so Apache Cassandra 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 Apache Cassandra.
Stacksync mirrors Order Items, Listings / Catalog Items, FBA Inventory, Shipments from Amazon Seller Central into Secondary Indexes, User-Defined Types, Collections, Counters in Apache Cassandra 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 Apache Cassandra, 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 Apache Cassandra; 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 | Apache Cassandra objects | |
|---|---|---|
| Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. | Tables Wide-column tables addressed by partition key, the unit of row-level sync. | |
| Returns Return and refund records routed to support and finance workflows. | Partitions and Rows Records located by partition and clustering keys during reads and upserts. | |
| Reports Asynchronous bulk exports used for large reads (orders, inventory, settlements). | Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | |
| Feeds Asynchronous bulk write channel for price, inventory, and listing updates. | Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | |
| Product Pricing Current price and competitive pricing data read for repricing analysis. | User-Defined Types Composite column types that syncs must flatten or map to structured fields. | |
| Orders Order headers pulled into ERP, CRM, or database tables for fulfillment and reporting. | Collections List, set, and map columns handled with type-aware field mapping. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–Apache Cassandra connection.
Changes in Amazon Seller Central or Apache Cassandra instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or Apache Cassandra 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 Apache Cassandra record.
Track your Amazon Seller Central ⇄ Apache Cassandra sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and Apache Cassandra.
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 Apache Cassandra 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 Apache Cassandra 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 Apache Cassandra — 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.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Seller Central and Apache Cassandra connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Seller Central–Apache Cassandra integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Seller Central and Apache Cassandra. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Seller Central: Historical and incremental syncs (mechanism not further specified). On Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. 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 Apache Cassandra side: Secondary Indexes, User-Defined Types, Collections, Counters. 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 Apache Cassandra. Field mapping and monitoring work the same as for two-way pairs.
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 Apache Cassandra.