Real-time
Two-way sync
Changes in Odoo or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
Odoo to Postgres Heroku integration — real-time, two-way sync
Keep Odoo and Postgres Heroku 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
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Migrated from Mulesoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Odoo and Postgres Heroku
Give your engineers Odoo's data in Postgres Heroku: read it with normal queries, write back through the sync, and skip the ERP API entirely.
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 Employees (hr.employee), Projects and Tasks (project.project / project.task), Contacts (res.partner), Sales Orders (sale.order) from Odoo into Postgres Heroku 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 Postgres Heroku sync back into Odoo with its validations respected.
Common use cases
- Keep several Heroku app databases aligned with one system of record
- Reflect billing and subscription records into the app database so product logic reads local rows
- 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 is the HR system of record: people data for internal systems
Worker and org records stay current in Postgres Heroku for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from Postgres Heroku back into Odoo, keeping the ERP authoritative.
Read ERP records with a query
Records from Odoo live in Postgres Heroku as ordinary tables or collections, joinable with the rest of your data.
What you can sync between Odoo and Postgres Heroku
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 | Postgres Heroku objects | |
|---|---|---|
| Projects and Tasks (project.project / project.task) Work items synced with external project tools. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | |
| Contacts (res.partner) The unified person/company record used across sales, invoicing, and purchasing; the anchor for CRM syncs. | Tables Standard Postgres tables; the primary two-way sync target for app data. | |
| Sales Orders (sale.order) Quotations and confirmed orders synced with e-commerce and external CRMs. | Views Read-side projections exposed to outbound syncs. | |
| Invoices (account.move) Customer invoices and journal entries synced with accounting and reporting tools. | Materialized Views Precomputed result sets synced outward on refresh. | |
| Products (product.template / product.product) Catalog and variant data distributed to storefronts and quoting tools. | Schemas Namespaces that scope which tables a sync reads and writes. | |
| CRM Leads (crm.lead) Leads and opportunities synced with marketing and enrichment systems. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. |
What ships with Odoo ⇄ Postgres Heroku
Connect Odoo and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Odoo–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Odoo or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Odoo ⇄ Postgres Heroku 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 Postgres Heroku.
How the Odoo and Postgres Heroku 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
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Odoo to Postgres Heroku — 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 Postgres Heroku 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
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Odoo and Postgres Heroku 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 ⇄ Postgres HerokuCustomers 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 Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Odoo and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Odoo and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Odoo's Projects and Tasks (project.project / project.task) and Contacts (res.partner)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Postgres Heroku side: JSONB Columns, Sequences, Follower Databases, Tables, plus custom fields where Postgres Heroku exposes them. On the Odoo side: Employees (hr.employee), Projects and Tasks (project.project / project.task), Contacts (res.partner), Sales Orders (sale.order). Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Odoo and Postgres Heroku: Where Odoo is the HR system of record: people data for internal systems; Controlled write-back; Read ERP records with a query. Worker and org records stay current in Postgres Heroku for provisioning, access, and reporting systems that read from the database.
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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. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
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Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Odoo: Hosting mode matters: self-hosted and Odoo.sh instances allow deeper access than Odoo Online, which restricts custom server code. Stacksync's field mapping accounts for these differences between Odoo and Postgres Heroku without custom code.
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 Postgres Heroku.
Popular · 8 of 386
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Odoo ⇄ IBM Db2 -
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Postgres Heroku ⇄ DEAR Inventory -
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Postgres Heroku ⇄ Deposco -
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Postgres Heroku ⇄ Epicor ERP
No integrations match .
