Two-way sync
Changes in Amazon Aurora or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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 Aurora 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 Aurora sync back into Cin7 with its validations respected.
Choose exactly which tables and fields may flow from Amazon Aurora back into Cin7, keeping the ERP authoritative.
Records from Cin7 live in Amazon Aurora 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 Aurora objects | Cin7 objects | |
|---|---|---|
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Purchase orders Supplier orders synced with procurement and accounting workflows. | |
| Databases Logical databases within a cluster that scope a sync connection. | Contacts Customers and suppliers, matched to CRM records to keep account data consistent. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Branches / locations Warehouse entities that scope every stock movement and order allocation. | |
| Tables Relational tables synced bi-directionally at row level. | Stock adjustments and transfers Inventory movements read for audit and reconciliation reporting. | |
| Views Read-only query-backed sources for downstream syncs. | Credit notes / returns Return documents synced so finance and support see the same refund state. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Products SKU records with options and pricing, synced with storefront and marketplace catalogs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Cin7 connection.
Changes in Amazon Aurora or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora 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 Aurora or Cin7 record.
Track your Amazon Aurora ⇄ Cin7 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora 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 Aurora 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 Aurora 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 Aurora and Cin7: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Read Replicas and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Cin7. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. 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 Aurora side: Databases, Schemas, Tables, Views, plus custom fields where Amazon Aurora 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 Aurora 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 Aurora 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 386 integrations available for Amazon Aurora and Cin7.