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Database ⇄ ERP

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

Keep AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Cin7

Give your engineers Cin7's data in AWS Aurora PostgreSQL: 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 Products, Inventory levels, Sales orders, Purchase orders from Cin7 into AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL sync back into Cin7 with its validations respected.

Common use cases

  • Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
  • Feed operational dashboards from a read replica while the writer handles sync traffic.
  • 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.

Read ERP records with a query

Records from Cin7 live in AWS Aurora PostgreSQL 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.

React to ERP changes

Updates in Cin7 arrive as row changes in AWS Aurora PostgreSQL, so jobs and triggers can respond as the business record changes.

What you can sync between AWS Aurora PostgreSQL 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.

AWS Aurora PostgreSQL objects Cin7 objects
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Branches / locations Warehouse entities that scope every stock movement and order allocation.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Stock adjustments and transfers Inventory movements read for audit and reconciliation reporting.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Credit notes / returns Return documents synced so finance and support see the same refund state.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Products SKU records with options and pricing, synced with storefront and marketplace catalogs.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Inventory levels Stock on hand by branch or location, published outward for availability.
Replication slots and publications The logical replication objects that power log-based CDC. Sales orders Orders captured from all channels; the main object for fulfillment and revenue syncs.
What ships with AWS Aurora PostgreSQL ⇄ Cin7

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Cin7 record.

Observability

Monitoring

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

Trading partners

EDI

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

How the AWS Aurora PostgreSQL and Cin7 connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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
    AWS Aurora PostgreSQL connected
    Cin7 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL 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 · AWS Aurora PostgreSQL ⇄ 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
    AWS Aurora PostgreSQL Cin7
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Cin7.

Popular · 8 of 386
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