Real-time
Two-way sync
Changes in Amazon Aurora or Odoo instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
Amazon Aurora to Odoo integration — real-time, two-way sync
Keep Amazon Aurora 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.
- 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 Fivetran
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Migrated from Celigo
Why teams connect Amazon Aurora and Odoo
Give your engineers Odoo's data in Amazon Aurora: 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 Products (product.template / product.product), CRM Leads (crm.lead), Purchase Orders (purchase.order), Inventory Transfers (stock.picking) from Odoo into Amazon Aurora 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 Amazon Aurora sync back into Odoo with its validations respected.
Common use cases
- 01 Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.
- 02 Consolidate several Aurora clusters into one reporting database.
- 03 Keep product and price list data aligned between Odoo and storefronts or marketplaces.
- 04 Sync employee records from an HR system of record into Odoo for expense and timesheet workflows.
Common sync patterns
React to ERP changes
Updates in Odoo arrive as row changes in Amazon Aurora, so jobs and triggers can respond as the business record changes.
Where Odoo is the HR system of record: people data for internal systems
Worker and org records stay current in Amazon Aurora for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from Amazon Aurora back into Odoo, keeping the ERP authoritative.
What you can sync between Amazon Aurora and 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 Aurora objects | Odoo objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Inventory Transfers (stock.picking) Delivery and receipt operations synced for fulfillment visibility. | Materialized Views is specific to Amazon Aurora and Inventory Transfers (stock.picking) to Odoo — each maps to any object or custom field on the other side. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Employees (hr.employee) HR records read for directory and provisioning syncs. | Columns and Data Types is specific to Amazon Aurora and Employees (hr.employee) to Odoo — each maps to any object or custom field on the other side. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | Projects and Tasks (project.project / project.task) Work items synced with external project tools. | Primary and Foreign Keys is specific to Amazon Aurora and Projects and Tasks (project.project / project.task) to Odoo — each maps to any object or custom field on the other side. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Contacts (res.partner) The unified person/company record used across sales, invoicing, and purchasing; the anchor for CRM syncs. | Read Replicas is specific to Amazon Aurora and Contacts (res.partner) to Odoo — each maps to any object or custom field on the other side. | |
| Databases Logical databases within a cluster that scope a sync connection. | Sales Orders (sale.order) Quotations and confirmed orders synced with e-commerce and external CRMs. | Databases is specific to Amazon Aurora and Sales Orders (sale.order) to Odoo — each maps to any object or custom field on the other side. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Invoices (account.move) Customer invoices and journal entries synced with accounting and reporting tools. | Schemas is specific to Amazon Aurora and Invoices (account.move) to Odoo — each maps to any object or custom field on the other side. |
How changes propagate between Amazon Aurora and Odoo
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.
Amazon Aurora Odoo Sub-second propagation
DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
DeliveryEach detected change is written to Odoo through its API, with automatic retries and rate-limit backoff.
Odoo Amazon Aurora Sub-second propagation
DetectionOdoo notifies Stacksync of record changes through webhook events. Polling on the write_date timestamp every record carries.
DeliveryEach detected change is applied to Amazon Aurora as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
- Odoo: Self-hosted instances have no fixed rate limits; Odoo Online is subject to the platform's fair-use limits.
What ships with Amazon Aurora ⇄ Odoo
Connect Amazon Aurora and Odoo for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Odoo connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon Aurora or Odoo 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 Amazon Aurora or Odoo record.
Observability
Monitoring
Track your Amazon Aurora ⇄ Odoo sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Odoo.
How the Amazon Aurora and Odoo connectors work
Amazon Aurora
- Integration surface
- MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
- Authentication
- Database credentials or IAM database authentication
- Change detection
- Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits
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
How it works
How to connect Amazon Aurora to Odoo — 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 Amazon Aurora 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.
Amazon Aurora
connected
Odoo
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon Aurora 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.
objects · Amazon Aurora ⇄ OdooCustomers 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.
Amazon Aurora OdooCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon Aurora and Odoo integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Amazon Aurora and Odoo: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Materialized Views and Columns and Data Types), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Amazon Aurora and Odoo: React to ERP changes; Where Odoo is the HR system of record: people data for internal systems; Controlled write-back. Updates in Odoo arrive as row changes in Amazon Aurora, so jobs and triggers can respond as the business record changes.
-
Amazon Aurora: MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS. Authentication: Database credentials or IAM database 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.
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Amazon Aurora: A cluster exposes distinct writer and reader endpoints, and supports multiple read replicas, so sync reads can be isolated from transactional writes. Odoo: The external API exposes the ORM generically: any model (res.partner, sale.order, account.move) is accessed with the same execute_kw call pattern rather than per-object endpoints. Stacksync's field mapping accounts for these differences between Amazon Aurora and Odoo 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 Amazon Aurora and Odoo 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 Amazon Aurora and Odoo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–Odoo integration in-house.
SECURITY
Security teams trust 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
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 448 integrations available for Amazon Aurora and Odoo.
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