Two-way sync
Changes in Amazon Redshift or Odoo instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift 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 Amazon Redshift next to everything else the company measures.
Stacksync syncs Purchase Orders (purchase.order), Inventory Transfers (stock.picking), Employees (hr.employee), Projects and Tasks (project.project / project.task) from Odoo into tables in Amazon Redshift continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Amazon Redshift can be written back to fields in Odoo where that is useful.
Operational records become queryable tables in Amazon Redshift, joinable with sales and finance data.
Combine Odoo's records with data synced from other systems in Amazon Redshift for consolidated views no single system can produce.
Classifications or reference values computed in Amazon Redshift sync back onto the corresponding records in Odoo.
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.
| Amazon Redshift objects | Odoo objects | |
|---|---|---|
| Stored Procedures SQL procedures sometimes invoked around load steps. | Purchase Orders (purchase.order) Procurement documents shared with supplier-facing systems. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Inventory Transfers (stock.picking) Delivery and receipt operations synced for fulfillment visibility. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Employees (hr.employee) HR records read for directory and provisioning syncs. | |
| Schemas Namespaces used to organize synced tables and control grants. | Projects and Tasks (project.project / project.task) Work items synced with external project tools. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | Contacts (res.partner) The unified person/company record used across sales, invoicing, and purchasing; the anchor for CRM syncs. | |
| Views SQL views readable as modeled sources for reverse syncs. | Sales Orders (sale.order) Quotations and confirmed orders synced with e-commerce and external CRMs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Odoo connection.
Changes in Amazon Redshift or Odoo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift 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 Amazon Redshift or Odoo record.
Track your Amazon Redshift ⇄ Odoo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift and Odoo: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Stored Procedures and Users and Groups), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Amazon Redshift: Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers. On Odoo: Polling on the write_date timestamp every record carries; recent versions can also send outbound webhooks from automation rules. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon Redshift side: Users and Groups, Databases, Schemas, Tables, plus custom fields where Amazon Redshift exposes them. On the Odoo side: Purchase Orders (purchase.order), Inventory Transfers (stock.picking), Employees (hr.employee), Projects and Tasks (project.project / project.task). 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 Amazon Redshift and Odoo: Where Odoo runs operations: order and supply analysis; Group reporting across systems; Write-back where Odoo exposes writable fields. Operational records become queryable tables in Amazon Redshift, joinable with sales and finance data.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. 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.
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 Amazon Redshift and Odoo.