Two-way sync
Changes in Google Cloud Platform or Odoo instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and Odoo in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Google Cloud Platform next to everything else the company measures.
Stacksync syncs Projects and Tasks (project.project / project.task), Contacts (res.partner), Sales Orders (sale.order), Invoices (account.move) from Odoo into tables in Google Cloud Platform continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Google Cloud Platform can be written back to fields in Odoo where that is useful.
Worker and organization data syncs into Google Cloud Platform for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Google Cloud Platform, joinable with sales and finance data.
Combine Odoo's records with data synced from other systems in Google Cloud Platform for consolidated views no single system can produce.
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.
| Google Cloud Platform objects | Odoo objects | |
|---|---|---|
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Products (product.template / product.product) Catalog and variant data distributed to storefronts and quoting tools. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | CRM Leads (crm.lead) Leads and opportunities synced with marketing and enrichment systems. | |
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Purchase Orders (purchase.order) Procurement documents shared with supplier-facing systems. | |
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Inventory Transfers (stock.picking) Delivery and receipt operations synced for fulfillment visibility. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Employees (hr.employee) HR records read for directory and provisioning syncs. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Projects and Tasks (project.project / project.task) Work items synced with external project tools. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Odoo connection.
Changes in Google Cloud Platform or Odoo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Odoo data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Platform or Odoo record.
Track your Google Cloud Platform ⇄ Odoo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Odoo.
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.
Authenticate Google Cloud Platform and Odoo with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Google Cloud Platform and Odoo 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Google Cloud Platform and Odoo: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's Pub/Sub topics and Firestore documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Google Cloud Platform side: Cloud Storage objects, Pub/Sub topics, Firestore documents, Spanner tables, plus custom fields where Google Cloud Platform exposes them. On the Odoo side: Projects and Tasks (project.project / project.task), Contacts (res.partner), Sales Orders (sale.order), Invoices (account.move). Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Google Cloud Platform and Odoo: Where Odoo is the HR system of record: workforce analytics; Where Odoo runs operations: order and supply analysis; Group reporting across systems. Worker and organization data syncs into Google Cloud Platform for headcount, cost, and planning analysis alongside other company data.
Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. Odoo: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Google Cloud Platform: Authentication is uniform across services through IAM service accounts, so one credential model covers BigQuery, Cloud SQL, Cloud Storage, and Pub/Sub. 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 Google Cloud Platform and Odoo without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Google Cloud Platform and Odoo.