Two-way sync
Changes in AWS Aurora PostgreSQL or Cin7 instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Records from Cin7 live in AWS Aurora PostgreSQL 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.
Updates in Cin7 arrive as row changes in AWS Aurora PostgreSQL, so jobs and triggers can respond as the business record changes.
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. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Cin7 connection.
Changes in AWS Aurora PostgreSQL or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Cin7 record.
Track your AWS Aurora PostgreSQL ⇄ Cin7 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL 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 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.
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.
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 AWS Aurora PostgreSQL and Cin7: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Rows and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 AWS Aurora PostgreSQL and Cin7: Read ERP records with a query; Internal tools and automations without API code; React to ERP changes. Records from Cin7 live in AWS Aurora PostgreSQL as ordinary tables or collections, joinable with the rest of your data.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Cin7: 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). Stacksync manages authentication, retries, and rate limits on both sides.
AWS Aurora PostgreSQL: PostgreSQL compatibility means JSONB, arrays, and custom types survive intact when syncing between Aurora and other Postgres-compatible stores. Cin7: Cin7 is two distinct products under one brand: Cin7 Omni and Cin7 Core (the former DEAR Systems), each with its own API, credentials, and object shapes, so a connector must target the right one. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Cin7 without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means AWS Aurora PostgreSQL and Cin7 records are not retained after a sync operation.
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 AWS Aurora PostgreSQL and Cin7.