Real-time sync
Changes in Amazon Seller Central or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and Elasticsearch 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 Elasticsearch, so Elasticsearch 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 Elasticsearch.
Stacksync mirrors Product Pricing, Orders, Order Items, Listings / Catalog Items from Amazon Seller Central into Index templates, Indices, Documents, Index mappings in Elasticsearch 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.
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 Elasticsearch; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Elasticsearch and Stacksync propagates the change into Amazon Seller Central, replacing custom integration code.
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 | Elasticsearch objects | |
|---|---|---|
| Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. | Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | |
| Returns Return and refund records routed to support and finance workflows. | Indices Target containers for synced records; each holds a table-like collection of JSON documents. | |
| Reports Asynchronous bulk exports used for large reads (orders, inventory, settlements). | Documents The unit of sync; JSON records created, updated, and deleted by _id. | |
| Feeds Asynchronous bulk write channel for price, inventory, and listing updates. | Index mappings Field type definitions that determine how synced fields are indexed and queried. | |
| Product Pricing Current price and competitive pricing data read for repricing analysis. | Aliases Stable read/write names that let a sync cut over between index versions without downtime. | |
| Orders Order headers pulled into ERP, CRM, or database tables for fulfillment and reporting. | Data streams Append-only targets for time-series or event data pushed from source systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–Elasticsearch connection.
Changes in Amazon Seller Central or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or Elasticsearch 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 Elasticsearch record.
Track your Amazon Seller Central ⇄ Elasticsearch sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and Elasticsearch.
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 Elasticsearch 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 Elasticsearch 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 Elasticsearch — 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.
Yes — Stacksync ships production-grade connectors for both Amazon Seller Central and Elasticsearch. 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 Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. 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 Elasticsearch side: Index templates, Indices, Documents, Index mappings. 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 Elasticsearch. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Seller Central and Elasticsearch: One integration pattern for the whole stack; Read Amazon Seller Central with a query; Automate Amazon Seller Central from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 Elasticsearch.