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Database ⇄ ERP

Amazon Aurora to Cin7 integration — real-time, two-way sync

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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

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Why teams connect Amazon Aurora and Cin7

Give your engineers Cin7's data in Amazon Aurora: read it with normal queries, write back through the sync, and skip the ERP API entirely.

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.

Common use cases

  • Consolidate several Aurora clusters into one reporting database.
  • Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
  • Sync sales orders from Cin7 into an accounting platform or warehouse for revenue and margin reporting.
  • Keep customer records aligned between Cin7 and the CRM to remove duplicate account entry.

Controlled write-back

Choose exactly which tables and fields may flow from Amazon Aurora back into Cin7, keeping the ERP authoritative.

Read ERP records with a query

Records from Cin7 live in Amazon Aurora as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Cin7 interface, limits, and retries.

What you can sync between Amazon Aurora and Cin7

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.
What ships with Amazon Aurora ⇄ Cin7

Connect Amazon Aurora and Cin7 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Cin7 connection.

Real-time

Two-way sync

Changes in Amazon Aurora or Cin7 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Cin7 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 Aurora or Cin7 record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Cin7 sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Cin7.

How the Amazon Aurora and Cin7 connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

Cin7

Integration surface
REST API; note that Cin7 Omni and Cin7 Core (formerly DEAR Systems) are separate products with separate APIs
Authentication
API key credentials (paired with a username or account ID, depending on the product)
Change detection
Polling on modified-date filters; webhook support exists on some editions for order and stock events
Capabilities
read · write · webhooks
Rate limits
Subject to per-account API rate limits that differ between Cin7 Omni and Cin7 Core
How it works

How to connect Amazon Aurora to Cin7 — 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 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon Aurora connected
    Cin7 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon Aurora ⇄ Cin7
    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 Aurora Cin7
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Amazon Aurora and Cin7 integration FAQ

SECURITY

Security teams love 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.

SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Amazon Aurora and Cin7.

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