Two-way sync
Changes in Citus or Odoo instantly reflect in both systems. No stale data, no manual imports.
Keep Citus 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 sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Projects and Tasks (project.project / project.task), Contacts (res.partner), Sales Orders (sale.order), Invoices (account.move) from Odoo into Citus and keeps both sides consistent in real time. Whatever Odoo is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Citus sync back into Odoo with its validations respected.
Worker and org records stay current in Citus for provisioning, access, and reporting systems that read from the database.
Choose exactly which tables and fields may flow from Citus back into Odoo, keeping the ERP authoritative.
Records from Odoo live in Citus as ordinary tables or collections, joinable with the rest of your data.
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.
| Citus objects | Odoo objects | How this pairing syncs | |
|---|---|---|---|
| Views Curated projections over distributed data, often used as read-only sync sources. | Invoices (account.move) Customer invoices and journal entries synced with accounting and reporting tools. | Views is specific to Citus and Invoices (account.move) to Odoo — each maps to any object or custom field on the other side. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Products (product.template / product.product) Catalog and variant data distributed to storefronts and quoting tools. | Sequences is specific to Citus and Products (product.template / product.product) to Odoo — each maps to any object or custom field on the other side. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | CRM Leads (crm.lead) Leads and opportunities synced with marketing and enrichment systems. | Distributed tables is specific to Citus and CRM Leads (crm.lead) to Odoo — each maps to any object or custom field on the other side. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Purchase Orders (purchase.order) Procurement documents shared with supplier-facing systems. | Reference tables is specific to Citus and Purchase Orders (purchase.order) to Odoo — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Inventory Transfers (stock.picking) Delivery and receipt operations synced for fulfillment visibility. | Local tables is specific to Citus and Inventory Transfers (stock.picking) to Odoo — each maps to any object or custom field on the other side. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Employees (hr.employee) HR records read for directory and provisioning syncs. | Schemas is specific to Citus and Employees (hr.employee) to Odoo — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
DeliveryEach detected change is written to Odoo through its API, with automatic retries and rate-limit backoff.
DetectionOdoo notifies Stacksync of record changes through webhook events. Polling on the write_date timestamp every record carries.
DeliveryEach detected change is applied to Citus as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Odoo connection.
Changes in Citus or Odoo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus 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 Citus or Odoo record.
Track your Citus ⇄ Odoo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus 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 Citus 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 Citus 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 Citus and Odoo: authenticate both systems, choose the objects to sync (such as Citus's Views and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and Odoo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Odoo integration in-house.
Yes — Stacksync ships production-grade connectors for both Citus and Odoo. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. 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 Citus side: Reference tables, Local tables, Schemas, Views, plus custom fields where Citus 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.
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 446 integrations available for Citus and Odoo.