Real-time
Two-way sync
Changes in Cin7 or Snowflake instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Data warehouse
Cin7 to Snowflake integration — real-time, two-way sync
Keep Cin7 and Snowflake 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Cin7 and Snowflake
Put Cin7's records in Snowflake as live tables for reporting and analysis, without extract jobs, and write results back where Cin7 can use them.
ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Cin7 carries financials, operations, workforce data, or all three, the analysis belongs in Snowflake next to everything else the company measures.
Stacksync syncs Branches / locations, Stock adjustments and transfers, Credit notes / returns, Products from Cin7 into tables in Snowflake continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Snowflake can be written back to fields in Cin7 where that is useful.
Common use cases
- Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL
- Push product usage aggregates from Snowflake into sales and success tools for account prioritization
- 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.
Where Cin7 runs operations: order and supply analysis
Operational records become queryable tables in Snowflake, joinable with sales and finance data.
Group reporting across systems
Combine Cin7's records with data synced from other systems in Snowflake for consolidated views no single system can produce.
Write-back where Cin7 exposes writable fields
Classifications or reference values computed in Snowflake sync back onto the corresponding records in Cin7.
What you can sync between Cin7 and Snowflake
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.
| Cin7 objects | Snowflake objects | |
|---|---|---|
| Purchase orders Supplier orders synced with procurement and accounting workflows. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | |
| Contacts Customers and suppliers, matched to CRM records to keep account data consistent. | Stages File staging areas used for bulk loads into synced tables. | |
| Branches / locations Warehouse entities that scope every stock movement and order allocation. | Tasks Scheduled SQL used to transform synced data after it lands. | |
| Stock adjustments and transfers Inventory movements read for audit and reconciliation reporting. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | |
| Credit notes / returns Return documents synced so finance and support see the same refund state. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | |
| Products SKU records with options and pricing, synced with storefront and marketplace catalogs. | Databases Top-level containers that scope which data a sync can touch. |
What ships with Cin7 ⇄ Snowflake
Connect Cin7 and Snowflake for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cin7–Snowflake connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Cin7 or Snowflake 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 Cin7 or Snowflake record.
Observability
Monitoring
Track your Cin7 ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Cin7 and Snowflake.
How the Cin7 and Snowflake connectors work
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
Snowflake
- Integration surface
- SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
- Authentication
- Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
- Change detection
- Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
- Capabilities
- read · write · CDC
- Rate limits
- No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
How it works
How to connect Cin7 to Snowflake — 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.
- 01
Connect your apps
Authenticate Cin7 and Snowflake with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Cin7
connected
Snowflake
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Cin7 and Snowflake 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.
objects · Cin7 ⇄ SnowflakeCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Cin7 SnowflakeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Cin7 and Snowflake integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Cin7 and Snowflake: authenticate both systems, choose the objects to sync (such as Cin7's Purchase orders and Contacts), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Cin7 and Snowflake: Where Cin7 runs operations: order and supply analysis; Group reporting across systems; Write-back where Cin7 exposes writable fields. Operational records become queryable tables in Snowflake, joinable with sales and finance data.
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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). Snowflake: SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API. Authentication: Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles. Stacksync manages authentication, retries, and rate limits on both sides.
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Snowflake: Streams expose row-level change records on a table, so downstream consumers can process only deltas rather than rescanning full tables. Cin7: Order objects carry channel context (POS, B2B, e-commerce), which downstream reporting syncs typically preserve for channel-level margin analysis. Stacksync's field mapping accounts for these differences between Cin7 and Snowflake without custom code.
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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 Cin7 and Snowflake records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Cin7 and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cin7–Snowflake integration in-house.
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 Cin7 and Snowflake.
Popular · 8 of 386
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Cin7 ⇄ Apache Druid -
Cin7 ⇄ Apache Hive -
Cin7 ⇄ Apache Impala -
Cin7 ⇄ Apache Kylin -
Snowflake ⇄ SAP Business One -
Snowflake ⇄ Oracle Fusion ERP -
Snowflake ⇄ Acumatica -
Snowflake ⇄ SAP S/4HANA
No integrations match .
