Real-time
Two-way sync
Changes in Odoo or Snowflake instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Data warehouse
Odoo to Snowflake integration — real-time, two-way sync
Keep Odoo 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
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Odoo and Snowflake
Put Odoo's records in Snowflake as live tables for reporting and analysis, without extract jobs, and write results back where Odoo 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 Odoo carries financials, operations, workforce data, or all three, the analysis belongs in Snowflake next to everything else the company measures.
Stacksync syncs CRM Leads (crm.lead), Purchase Orders (purchase.order), Inventory Transfers (stock.picking), Employees (hr.employee) from Odoo 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 Odoo 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
- Keep product and price list data aligned between Odoo and storefronts or marketplaces.
- Sync employee records from an HR system of record into Odoo for expense and timesheet workflows.
Where Odoo 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.
Where Odoo is the HR system of record: workforce analytics
Worker and organization data syncs into Snowflake for headcount, cost, and planning analysis alongside other company data.
Where Odoo runs operations: order and supply analysis
Operational records become queryable tables in Snowflake, joinable with sales and finance data.
What you can sync between Odoo 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.
| Odoo objects | Snowflake objects | |
|---|---|---|
| Products (product.template / product.product) Catalog and variant data distributed to storefronts and quoting tools. | Databases Top-level containers that scope which data a sync can touch. | |
| CRM Leads (crm.lead) Leads and opportunities synced with marketing and enrichment systems. | Schemas Namespaces within a database used to organize synced tables. | |
| Purchase Orders (purchase.order) Procurement documents shared with supplier-facing systems. | Tables The main landing and activation target for synced records. | |
| Inventory Transfers (stock.picking) Delivery and receipt operations synced for fulfillment visibility. | Views Modeled projections used as the source side of outbound syncs. | |
| Employees (hr.employee) HR records read for directory and provisioning syncs. | Materialized Views Precomputed results synced outward for low-latency reads. | |
| Projects and Tasks (project.project / project.task) Work items synced with external project tools. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. |
What ships with Odoo ⇄ Snowflake
Connect Odoo and Snowflake for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Odoo–Snowflake connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Odoo 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 Odoo or Snowflake record.
Observability
Monitoring
Track your Odoo ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Odoo and Snowflake.
How the Odoo and Snowflake connectors work
Odoo
- Integration surface
- XML-RPC and JSON-RPC external API exposing the full ORM (search_read, create, write, unlink)
- Authentication
- Database user credentials or per-user API keys
- Change detection
- Polling on the write_date timestamp every record carries; recent versions can also send outbound webhooks from automation rules
- Capabilities
- read · write · webhooks
- Rate limits
- Self-hosted instances have no fixed rate limits; Odoo Online is subject to the platform's fair-use limits
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 Odoo 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 Odoo 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.
Odoo
connected
Snowflake
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Odoo 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 · Odoo ⇄ 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.
Odoo SnowflakeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Odoo and Snowflake integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Odoo and Snowflake: authenticate both systems, choose the objects to sync (such as Odoo's Products (product.template / product.product) and CRM Leads (crm.lead)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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. Odoo: Every record carries create_date and write_date fields, which makes timestamp-based incremental polling reliable across all models. Stacksync's field mapping accounts for these differences between Odoo 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 Odoo 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 Odoo and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Odoo–Snowflake integration in-house.
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Yes — Stacksync ships production-grade connectors for both Odoo and Snowflake. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Odoo: Polling on the write_date timestamp every record carries; recent versions can also send outbound webhooks from automation rules. 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 Odoo and Snowflake.
Popular · 8 of 386
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Odoo ⇄ Rockset -
Odoo ⇄ Starburst Enterprise -
Odoo ⇄ StarRocks -
Odoo ⇄ Teradata Vantage -
Snowflake ⇄ Macola ERP -
Snowflake ⇄ Manhattan Associates WMS -
Snowflake ⇄ Microsoft Dynamics GP - Snowflake ⇄ Microsoft Dynamics NAV
No integrations match .
