Two-way sync
Changes in Azure SQL Database or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Keep Azure SQL Database 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 Inventory levels, Sales orders, Purchase orders, Contacts from Cin7 into Azure SQL Database 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 Azure SQL Database sync back into Cin7 with its validations respected.
Choose exactly which tables and fields may flow from Azure SQL Database back into Cin7, keeping the ERP authoritative.
Records from Cin7 live in Azure SQL Database 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.
| Azure SQL Database objects | Cin7 objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | Inventory levels Stock on hand by branch or location, published outward for availability. | Schemas is specific to Azure SQL Database and Inventory levels to Cin7 — each maps to any object or custom field on the other side. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | Sales orders Orders captured from all channels; the main object for fulfillment and revenue syncs. | Rows and columns is specific to Azure SQL Database and Sales orders to Cin7 — each maps to any object or custom field on the other side. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Purchase orders Supplier orders synced with procurement and accounting workflows. | Stored procedures is specific to Azure SQL Database and Purchase orders to Cin7 — each maps to any object or custom field on the other side. | |
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Contacts Customers and suppliers, matched to CRM records to keep account data consistent. | Change tracking / CDC tables is specific to Azure SQL Database and Contacts to Cin7 — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map one-to-one to records in the paired system. | Branches / locations Warehouse entities that scope every stock movement and order allocation. | Tables is specific to Azure SQL Database and Branches / locations to Cin7 — each maps to any object or custom field on the other side. | |
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | Stock adjustments and transfers Inventory movements read for audit and reconciliation reporting. | Views is specific to Azure SQL Database and Stock adjustments and transfers 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 Azure SQL Database are captured at the source via change data capture — no polling loop against its API. Change data capture or change tracking, both supported on Azure SQL Database.
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 Azure SQL Database as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–Cin7 connection.
Changes in Azure SQL Database or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure SQL Database 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 Azure SQL Database or Cin7 record.
Track your Azure SQL Database ⇄ Cin7 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database and Cin7: authenticate both systems, choose the objects to sync (such as Azure SQL Database's Schemas and Rows and columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure SQL Database and Cin7 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure SQL Database–Cin7 integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure SQL Database and Cin7. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure SQL Database: Change data capture or change tracking, both supported on Azure SQL Database; 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 Azure SQL Database side: Views, Schemas, Rows and columns, Stored procedures, plus custom fields where Azure SQL Database exposes them. On the Cin7 side: Inventory levels, Sales orders, Purchase orders, Contacts. 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.
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 437 integrations available for Azure SQL Database and Cin7.