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Database ⇄ E-commerce

Amazon DynamoDB to Channelengine integration — real-time, two-way sync

Keep Amazon DynamoDB and Channelengine in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Amazon DynamoDB and Channelengine

Give your engineers Channelengine's products, orders, and customers in Amazon DynamoDB: read them with normal queries, write inventory and prices back through the sync, and skip the storefront API.

E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.

Stacksync mirrors Returns, Cancellations, Backorders, Order documents from Channelengine into Amazon DynamoDB and keeps both sides consistent in real time. Whatever Channelengine holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Amazon DynamoDB, such as new prices, stock levels, or fulfillment status, sync back into Channelengine with its validations respected.

Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.

Common use cases

  • 01 Use DynamoDB Streams as a change-data-capture source to push item INSERT, MODIFY, and REMOVE events into a CRM, search index, or operational database in near-real-time.
  • 02 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.
  • 03 Sync Returns and Cancellations two-way so customer-service and finance systems reconcile marketplace returns and cancellations with the ERP.
  • 04 Load Orders and Returns into Postgres or a warehouse for marketplace sales, fulfillment, and margin reporting without manual CSV exports.

Common sync patterns

Order data where your code can use it

Orders and their status become rows in Amazon DynamoDB for routing, fulfillment, and reporting, without polling the platform.

Controlled write-back

Choose exactly which tables and fields may flow from Amazon DynamoDB back into Channelengine, keeping the store authoritative on what it owns.

Read the store's data with a query

Records from Channelengine, whether products, orders, customers, or inventory, live in Amazon DynamoDB as ordinary tables or collections, joinable with the rest of your data.

What you can sync between Amazon DynamoDB and Channelengine

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 Channelengine objects How this pairing syncs
Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Backorders Records marking part of an order as temporarily out of stock; create with POST /v2/backorders and read with GET /v2/backorders by merchant reference or since a date. Time to Live (TTL) is specific to Amazon DynamoDB and Backorders to Channelengine — 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 documents Invoices and other order documents; retrieved as a paginated, filterable list via GET /v2/orders/documents for finance and archiving systems. Read-only. Tables is specific to Amazon DynamoDB and Order documents to Channelengine — 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. Orders Marketplace and merchant-fulfilled orders; read via GET /v2/orders and GET /v2/orders/new (status NEW), then acknowledged with POST /v2/orders/acknowledge so later shipment, return, and cancellation calls can reference them. Items is specific to Amazon DynamoDB and Orders to Channelengine — 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. Products (product content) Catalog records created and updated via POST /v2/products and deactivated via DELETE; use a parent/child variant model where the parent is a non-purchasable blueprint. Written into ChannelEngine from a PIM, ERP, or database. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Products (product content) to Channelengine — 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. Offers (price and stock) Price and stock updates via PUT /v2/offer/stock and the offers endpoints; separate from product content so fast-changing stock can be pushed often, and supports bulk updates across stock locations. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Offers (price and stock) to Channelengine — each maps to any object or custom field on the other side.
DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. Shipments Fulfillment records; write with POST /v2/shipments to mark an order shipped with tracking, read with GET /v2/shipments. Pushed back from a warehouse or ERP so marketplaces update the buyer. DynamoDB Streams is specific to Amazon DynamoDB and Shipments to Channelengine — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and Channelengine

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.

Amazon DynamoDB Channelengine Sub-second propagation

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.

DeliveryEach detected change is written to Channelengine through its API, with automatic retries and rate-limit backoff.

Channelengine Amazon DynamoDB Sub-second propagation

DetectionChannelengine notifies Stacksync of record changes through webhook events. Webhooks fire on order creation and on return and shipment/cancellation changes.

DeliveryEach detected change is applied to Amazon DynamoDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon DynamoDB: Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
  • Channelengine: Rate limits are per endpoint and returned in headers: x-rate-limit-limit (interval length in minutes), x-rate-limit-remaining, and retry-after (seconds to wait); e.g. POST /v2/supportorder allows 3 calls per minute.
What ships with Amazon DynamoDB ⇄ Channelengine

Connect Amazon DynamoDB and Channelengine for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–Channelengine connection.

Real-time

Two-way sync

Changes in Amazon DynamoDB or Channelengine instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or Channelengine data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Amazon DynamoDB or Channelengine record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ Channelengine sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB and Channelengine.

How the Amazon DynamoDB and Channelengine connectors work

Amazon DynamoDB

Integration surface
AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture.
Authentication
AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level.
Change detection
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.
Capabilities
read · write · CDC
Rate limits
Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.

Channelengine

Integration surface
REST API (Merchant API v2); per-tenant base URL https://{tenant}.channelengine.net/api
Authentication
API key passed as the 'apikey' parameter; ChannelEngine recommends sending it in a request header rather than the URL because some webservers log full URLs
Change detection
Webhooks fire on order creation and on return and shipment/cancellation changes; product content and offers use change-tracking endpoints (GET /v2/products/data and /v2/products/offers) with an acknowledge pattern that returns only changed records, plus polling GET /v2/orders/new
Capabilities
read · write · webhooks
Rate limits
Rate limits are per endpoint and returned in headers: x-rate-limit-limit (interval length in minutes), x-rate-limit-remaining, and retry-after (seconds to wait); e.g. POST /v2/supportorder allows 3 calls per minute.
How it works

How to connect Amazon DynamoDB to Channelengine — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Amazon DynamoDB and Channelengine with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon DynamoDB connected
    Channelengine connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon DynamoDB and Channelengine 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon DynamoDB ⇄ Channelengine
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon DynamoDB Channelengine
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon DynamoDB and Channelengine integration FAQ

SECURITY

Security teams trust Stacksync

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.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 401 integrations available for Amazon DynamoDB and Channelengine.

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