Two-way sync
Changes in Amazon DynamoDB or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon DynamoDB and Cin7 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Contacts, Branches / locations, Stock adjustments and transfers, Credit notes / returns from Cin7 into Amazon DynamoDB and keeps both sides consistent in real time. Whatever Cin7 is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Amazon DynamoDB sync back into Cin7 with its validations respected.
Choose exactly which tables and fields may flow from Amazon DynamoDB back into Cin7, keeping the ERP authoritative.
Records from Cin7 live in Amazon DynamoDB as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Cin7 interface, limits, and retries.
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 | Cin7 objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Purchase orders Supplier orders synced with procurement and accounting workflows. | DynamoDB Streams is specific to Amazon DynamoDB and Purchase orders to Cin7 — each maps to any object or custom field on the other side. | |
| 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. | Contacts Customers and suppliers, matched to CRM records to keep account data consistent. | Global Tables is specific to Amazon DynamoDB and Contacts to Cin7 — 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. | Branches / locations Warehouse entities that scope every stock movement and order allocation. | Time to Live (TTL) is specific to Amazon DynamoDB and Branches / locations to Cin7 — 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. | Stock adjustments and transfers Inventory movements read for audit and reconciliation reporting. | Tables is specific to Amazon DynamoDB and Stock adjustments and transfers to Cin7 — 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. | Credit notes / returns Return documents synced so finance and support see the same refund state. | Items is specific to Amazon DynamoDB and Credit notes / returns to Cin7 — 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 SKU records with options and pricing, synced with storefront and marketplace catalogs. | Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Products to Cin7 — 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.
DeliveryEach detected change is written to Cin7 through its API, with automatic retries and rate-limit backoff.
DetectionCin7 notifies Stacksync of record changes through webhook events. Polling on modified-date filters.
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–Cin7 connection.
Changes in Amazon DynamoDB or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon DynamoDB or Cin7 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 Cin7 record.
Track your Amazon DynamoDB ⇄ Cin7 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB and Cin7.
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 Cin7 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 Cin7 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 two-way integration between Amazon DynamoDB and Cin7: authenticate both systems, choose the objects to sync (such as Amazon DynamoDB's DynamoDB Streams and Global Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Amazon DynamoDB and Cin7. 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 Cin7: Polling on modified-date filters; webhook support exists on some editions for order and stock events. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon DynamoDB side: Time to Live (TTL), Tables, Items, Global secondary indexes (GSIs), plus custom fields where Amazon DynamoDB exposes them. On the Cin7 side: Contacts, Branches / locations, Stock adjustments and transfers, Credit notes / returns. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Amazon DynamoDB and Cin7: Controlled write-back; Read ERP records with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from Amazon DynamoDB back into Cin7, keeping the ERP authoritative.
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 532 integrations available for Amazon DynamoDB and Cin7.