Real-time
Two-way sync
Changes in Sage X3 or Snowflake instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Data warehouse
Sage X3 to Snowflake integration — real-time, two-way sync
Keep Sage X3 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 X3 and Snowflake
Put Sage X3's records in Snowflake as live tables for reporting and analysis, without extract jobs, and write results back where Sage X3 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 X3 carries financials, operations, workforce data, or all three, the analysis belongs in Snowflake next to everything else the company measures.
Stacksync syncs Bills of Material, GL Journals, Deliveries, Business Partners (Customers and Suppliers) from Sage X3 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 X3 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
- Replicate GL journals and sales history to a warehouse for multi-company, multi-legislation reporting.
- Feed work order and BOM data to MES or planning tools on the shop floor.
Group reporting across systems
Combine Sage X3's records with data synced from other systems in Snowflake for consolidated views no single system can produce.
Write-back where Sage X3 exposes writable fields
Classifications or reference values computed in Snowflake sync back onto the corresponding records in Sage X3.
Where Sage X3 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 X3 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 X3 objects | Snowflake objects | |
|---|---|---|
| Products Item master with units, costing, and site data, synced to commerce and PLM tools. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | |
| Sales Orders Order documents written from external channels and read for fulfillment status. | Stages File staging areas used for bulk loads into synced tables. | |
| Purchase Orders Procurement documents synced with supplier-facing systems. | Tasks Scheduled SQL used to transform synced data after it lands. | |
| Work Orders Production orders read by MES and scheduling integrations. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | |
| Stock / Inventory by site On-hand and allocated quantities per site, synced to storefronts and WMS. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | |
| Bills of Material Product structures read for planning and costing. | Databases Top-level containers that scope which data a sync can touch. |
What ships with Sage X3 ⇄ Snowflake
Connect Sage X3 and Snowflake for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Sage X3–Snowflake connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Sage X3 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 X3 or Snowflake record.
Observability
Monitoring
Track your Sage X3 ⇄ 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 X3 and Snowflake.
How the Sage X3 and Snowflake connectors work
Sage X3
- Integration surface
- SOAP and REST web services published from X3 business objects; direct SQL access to the underlying database on-prem
- Authentication
- Dedicated web-service user credentials (Basic auth) against configured connection pools
- Change detection
- Scheduled polling; no general webhook surface on the classic web services layer
- 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 X3 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 X3 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 X3
connected
Snowflake
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Sage X3 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 X3 ⇄ 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 X3 SnowflakeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Sage X3 and Snowflake integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Sage X3 and Snowflake: authenticate both systems, choose the objects to sync (such as Sage X3's Products and Sales Orders), 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 X3: X3 web services are generated from its business objects, so payloads mirror the on-screen entry transactions and enforce the same validation as manual entry. Stacksync's field mapping accounts for these differences between Sage X3 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 X3 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 X3 and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Sage X3–Snowflake integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Sage X3 and Snowflake. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Sage X3: Scheduled polling; no general webhook surface on the classic web services layer. 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 X3 and Snowflake.
Popular · 8 of 386
-
Sage X3 ⇄ Vertica -
Sage X3 ⇄ Yellowbrick -
Sage X3 ⇄ BigQuery -
Sage X3 ⇄ MotherDuck -
Snowflake ⇄ Infor CloudSuite - Snowflake ⇄ Infor LN
- Snowflake ⇄ Infor M3
- Snowflake ⇄ Infor WMS
No integrations match .
