Real-time sync
Changes in Amazon DynamoDB or Amazon Seller Central instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon DynamoDB and Amazon Seller Central 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 Amazon DynamoDB, so Amazon DynamoDB 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 Amazon DynamoDB.
Stacksync mirrors Product Pricing, Orders, Order Items, Listings / Catalog Items from Amazon Seller Central into Time to Live (TTL), Tables, Items, Global secondary indexes (GSIs) in Amazon DynamoDB 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.
Records from Amazon Seller Central are ordinary rows in Amazon DynamoDB; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Amazon DynamoDB and Stacksync propagates the change into Amazon Seller Central, replacing custom integration code.
Updates in Amazon Seller Central arrive as row changes in Amazon DynamoDB, so triggers, jobs, and services can respond in near real time.
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 DynamoDB objects | Amazon Seller Central objects | How this pairing syncs | |
|---|---|---|---|
| Global Tables Multi-region, active-active replicas of a table kept in sync by DynamoDB; each region is read and written locally with last-writer-wins conflict resolution. | Product Pricing Current price and competitive pricing data read for repricing analysis. | Global Tables is specific to Amazon DynamoDB and Product Pricing to Amazon Seller Central — each maps to any object or custom field on the other side. | |
| Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. | Orders Order headers pulled into ERP, CRM, or database tables for fulfillment and reporting. | Time to Live (TTL) is specific to Amazon DynamoDB and Orders to Amazon Seller Central — each maps to any object or custom field on the other side. | |
| Tables Top-level containers, each with a partition key and optional sort key; Stacksync syncs a table as a stream of items with full read and write via PutItem, UpdateItem, and DeleteItem. | Order Items Line-level SKU, quantity, and price data joined to orders in downstream systems. | Tables is specific to Amazon DynamoDB and Order Items to Amazon Seller Central — each maps to any object or custom field on the other side. | |
| Items Individual schemaless records (attributes up to 400 KB each); read with GetItem, Query, and Scan and written with PutItem or BatchWriteItem, so write is supported here. | Listings / Catalog Items Product listing content and status, readable and updatable through the Listings and Feeds APIs. | Items is specific to Amazon DynamoDB and Listings / Catalog Items to Amazon Seller Central — each maps to any object or custom field on the other side. | |
| Global secondary indexes (GSIs) Alternate key projections that let you Query by non-key attributes without a full table Scan; read-only views maintained automatically by DynamoDB. | FBA Inventory Fulfillable quantity by SKU, synced out for stock planning and replenishment. | Global secondary indexes (GSIs) is specific to Amazon DynamoDB and FBA Inventory to Amazon Seller Central — each maps to any object or custom field on the other side. | |
| Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. | Shipments Inbound and outbound shipment records used to track fulfillment state. | Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Shipments to Amazon Seller Central — 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.
DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.
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 Amazon DynamoDB records.
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 Amazon DynamoDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–Amazon Seller Central connection.
Changes in Amazon DynamoDB or Amazon Seller Central instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon DynamoDB or Amazon Seller Central 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 DynamoDB or Amazon Seller Central record.
Track your Amazon DynamoDB ⇄ Amazon Seller Central sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB and Amazon Seller Central.
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 DynamoDB and Amazon Seller Central 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 DynamoDB and Amazon Seller Central 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 DynamoDB and Amazon Seller Central — 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 DynamoDB and Amazon Seller Central. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon DynamoDB: DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks. On Amazon Seller Central: Historical and incremental syncs (mechanism not further specified). 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 Amazon DynamoDB side: Time to Live (TTL), Tables, Items, Global secondary indexes (GSIs). 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 Amazon DynamoDB. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon DynamoDB and Amazon Seller Central: Read Amazon Seller Central with a query; Automate Amazon Seller Central from your codebase; React to changes as they happen. Records from Amazon Seller Central are ordinary rows in Amazon DynamoDB; join them, index them, and use them in application logic without touching the vendor API.
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 500 integrations available for Amazon DynamoDB and Amazon Seller Central.