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ERP ⇄ Data warehouse

Sage 100 to Snowflake integration — real-time, two-way sync

Keep Sage 100 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

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Why teams connect Sage 100 and Snowflake

Put Sage 100's records in Snowflake as live tables for reporting and analysis, without extract jobs, and write results back where Sage 100 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 100 carries financials, operations, workforce data, or all three, the analysis belongs in Snowflake next to everything else the company measures.

Stacksync syncs Sales Orders, AR Invoices, Purchase Orders, GL Accounts from Sage 100 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 100 where that is useful.

Common use cases

  • Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on
  • Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL
  • Publish item, pricing, and on-hand inventory to online catalogs on a schedule.
  • Replicate GL and sales history to a warehouse or Postgres database for reporting off the on-premise system.

Where Sage 100 runs operations: order and supply analysis

Operational records become queryable tables in Snowflake, joinable with sales and finance data.

Group reporting across systems

Combine Sage 100's records with data synced from other systems in Snowflake for consolidated views no single system can produce.

Write-back where Sage 100 exposes writable fields

Classifications or reference values computed in Snowflake sync back onto the corresponding records in Sage 100.

What you can sync between Sage 100 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 100 objects Snowflake objects
GL Accounts Chart of accounts read for mapping transactions in finance integrations. Virtual Warehouses The compute a sync's queries run on, sized independently of storage.
Journal Entries Posted GL activity replicated to warehouses for FP&A. Databases Top-level containers that scope which data a sync can touch.
Customers AR customer master records synced to CRMs for account and credit visibility. Schemas Namespaces within a database used to organize synced tables.
Vendors AP vendor master records synced with procurement and payment tools. Tables The main landing and activation target for synced records.
Inventory Items Item master with pricing and quantities, synced to e-commerce catalogs. Views Modeled projections used as the source side of outbound syncs.
Sales Orders Order headers and lines, the usual write target for web and EDI orders. Materialized Views Precomputed results synced outward for low-latency reads.
What ships with Sage 100 ⇄ Snowflake

Connect Sage 100 and Snowflake for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Sage 100–Snowflake connection.

Real-time

Two-way sync

Changes in Sage 100 or Snowflake instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Sage 100 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 100 or Snowflake record.

Observability

Monitoring

Track your Sage 100 ⇄ 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 100 and Snowflake.

How the Sage 100 and Snowflake connectors work

Sage 100

Integration surface
ODBC (ProvideX driver) for reads; Business Object Interface (BOI) or Sage-provided web services for writes
Authentication
Sage 100 company and user credentials; ODBC DSN credentials for direct reads
Change detection
Scheduled polling; no webhooks or change log on the integration 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
Snowflake setup guide
How it works

How to connect Sage 100 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.

  1. 01

    Connect your apps

    Authenticate Sage 100 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Sage 100 connected
    Snowflake connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Sage 100 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Sage 100 ⇄ Snowflake
    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
    Sage 100 Snowflake
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Sage 100 and Snowflake 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Sage 100 and Snowflake.

Popular · 8 of 386
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