Real-time
Two-way sync
Changes in Sage 300 or Snowflake instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Data warehouse
Sage 300 to Snowflake integration — real-time, two-way sync
Keep Sage 300 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 Sage 300 and Snowflake
Put Sage 300's records in Snowflake as live tables for reporting and analysis, without extract jobs, and write results back where Sage 300 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 Sage 300 carries financials, operations, workforce data, or all three, the analysis belongs in Snowflake next to everything else the company measures.
Stacksync syncs Journal Batches, Order Entry Orders, Purchase Orders, Inventory Items from Sage 300 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 Sage 300 where that is useful.
Common use cases
- Land CRM and ERP records in Snowflake continuously so BI reflects business systems without nightly batch ETL
- Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on
- Keep inventory items and quantities aligned with e-commerce and warehouse systems on a schedule.
- Sync AR customers, invoices, and balances into a CRM for multi-currency account visibility.
Group reporting across systems
Combine Sage 300's records with data synced from other systems in Snowflake for consolidated views no single system can produce.
Write-back where Sage 300 exposes writable fields
Classifications or reference values computed in Snowflake sync back onto the corresponding records in Sage 300.
Where Sage 300 holds the books: finance reporting from live data
Financial records land in Snowflake as they change, so period-end reporting queries current numbers rather than last night's extract.
What you can sync between Sage 300 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.
| Sage 300 objects | Snowflake objects | |
|---|---|---|
| Inventory Items Item master with costing and quantities, synced to storefronts and WMS. | Views Modeled projections used as the source side of outbound syncs. | |
| AR Invoices and Receipts Billing and payment records replicated for cash and revenue reporting. | Materialized Views Precomputed results synced outward for low-latency reads. | |
| AR Customers Receivables customer master synced to CRMs and billing tools. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | |
| AP Vendors Payables vendor master synced with procurement and payment systems. | Stages File staging areas used for bulk loads into synced tables. | |
| GL Accounts Chart of accounts read for transaction mapping across integrations. | Tasks Scheduled SQL used to transform synced data after it lands. | |
| Journal Batches GL entries staged in batches that must be posted; a common write target for external systems. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. |
What ships with Sage 300 ⇄ Snowflake
Connect Sage 300 and Snowflake for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Sage 300–Snowflake connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Sage 300 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 Sage 300 or Snowflake record.
Observability
Monitoring
Track your Sage 300 ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Sage 300 and Snowflake.
How the Sage 300 and Snowflake connectors work
Sage 300
- Integration surface
- Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem
- Authentication
- Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads
- Change detection
- Scheduled polling; batch-oriented modules with no webhook surface
- Capabilities
- read · write
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 Sage 300 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 Sage 300 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.
Sage 300
connected
Snowflake
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Sage 300 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 · Sage 300 ⇄ 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.
Sage 300 SnowflakeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Sage 300 and Snowflake integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Sage 300 and Snowflake: authenticate both systems, choose the objects to sync (such as Sage 300's Inventory Items and AR Invoices and Receipts), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Snowflake: Compute runs on virtual warehouses that are billed and scaled separately from storage, so sync workloads can be isolated on their own warehouse. Sage 300: Sage 300 (formerly Accpac) stores each company's data in its own SQL Server database with module-prefixed tables, so direct SQL reads are a common integration path on-prem. Stacksync's field mapping accounts for these differences between Sage 300 and Snowflake 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 Sage 300 and Snowflake records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Sage 300 and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Sage 300–Snowflake integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Sage 300 and Snowflake. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Sage 300: Scheduled polling; batch-oriented modules with no webhook surface. On Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Sage 300 and Snowflake.
Popular · 8 of 386
-
Sage 300 ⇄ Tinybird -
Sage 300 ⇄ Vertica -
Sage 300 ⇄ Yellowbrick -
Sage 300 ⇄ BigQuery -
Snowflake ⇄ Fishbowl Manufacturing -
Snowflake ⇄ Global Shop Solutions -
Snowflake ⇄ Infor CloudSuite - Snowflake ⇄ Infor LN
No integrations match .
