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Storage ⇄ ERP

Amazon S3 to Odoo integration — real-time, two-way sync

Keep Amazon S3 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Amazon S3 and Odoo

Move the documents and data that Odoo produces into Amazon S3 as files, and let files stored in Amazon S3 update the records they belong to in Odoo, continuously and without exports or manual filing.

Odoo runs the business on structured records: Purchase Orders (purchase.order), Inventory Transfers (stock.picking), Employees (hr.employee), Projects and Tasks (project.project / project.task). Amazon S3 holds files and the metadata that describes them: Object tags, Object versions, Prefixes (folders), Multipart uploads. The two do not share a customer table or an order ledger. What they share is documents. Nearly every record Odoo touches produces a file that belongs in storage, whether an invoice, a purchase order, a statement, or a shipping doc, and many files that land in Amazon S3, from signed contracts to vendor bills to receipts, describe a transaction Odoo needs to record. Left unconnected, that link is maintained by hand: someone exports a PDF and drags it into a folder, or downloads a file and keys its details into a record.

Stacksync keeps Purchase Orders (purchase.order), Inventory Transfers (stock.picking), Employees (hr.employee), Projects and Tasks (project.project / project.task) in Odoo and Object tags, Object versions, Prefixes (folders), Multipart uploads in Amazon S3 in sync, bi-directionally and in real time. A document and its details, the customer, the type, the date, an amount, an order or invoice number, are mapped field by field, so a file arrives in Amazon S3 already labeled and filed, and metadata captured against a stored file can create or update the matching record in Odoo. Changes on either side show up within seconds, with conflict resolution in place of nightly exports and manual filing.

The result is that a transaction and the document that backs it stay together. Finance, operations, and audit teams find the file behind a record without digging through folders, and the record in Odoo and the file in Amazon S3 never describe two different versions of the same document.

Common use cases

  • 01 Keep product and price list data aligned between Odoo and storefronts or marketplaces.
  • 02 Sync employee records from an HR system of record into Odoo for expense and timesheet workflows.
  • 03 Reconcile Object versions and delete markers into an audit table so teams track when files under a compliance prefix were added, replaced, or removed.
  • 04 Index every new Object's key, size, LastModified, and user metadata into a Postgres catalog table so applications query S3 contents in SQL instead of paging ListObjectsV2.

Common sync patterns

Audit-ready retention

Every transaction's supporting file lives in Amazon S3 beside its metadata, giving finance and audit teams a complete, searchable trail tied back to the record in Odoo.

Documents filed with their context

Files that Odoo produces land in Amazon S3 labeled with the customer, document type, and reference number they belong to, so the right copy is one search away instead of buried in a folder.

Metadata that files itself

Record fields from Odoo, like customer, date, amount, type, and reference number, become the metadata and tags on the stored file in Amazon S3, so storage stays organized without anyone tagging by hand.

What you can sync between Amazon S3 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 S3 objects Odoo objects How this pairing syncs
Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. CRM Leads (crm.lead) Leads and opportunities synced with marketing and enrichment systems. Buckets is specific to Amazon S3 and CRM Leads (crm.lead) to Odoo — each maps to any object or custom field on the other side.
Objects Files stored under a key; content is read with GET and written with PUT, and each object's key/size/ETag/LastModified is the unit indexed into a database. Purchase Orders (purchase.order) Procurement documents shared with supplier-facing systems. Objects is specific to Amazon S3 and Purchase Orders (purchase.order) to Odoo — each maps to any object or custom field on the other side.
Object metadata System metadata (Content-Type, size, ETag, LastModified) plus user-defined x-amz-meta-* headers; user metadata is fixed at write time and only changeable by rewriting the object. Inventory Transfers (stock.picking) Delivery and receipt operations synced for fulfillment visibility. Object metadata is specific to Amazon S3 and Inventory Transfers (stock.picking) to Odoo — each maps to any object or custom field on the other side.
Object tags Up to 10 key-value tags per object, mutable in place via the tagging API independent of content, so classification and retention labels sync two-way without rewriting files. Employees (hr.employee) HR records read for directory and provisioning syncs. Object tags is specific to Amazon S3 and Employees (hr.employee) to Odoo — each maps to any object or custom field on the other side.
Object versions When bucket versioning is enabled every write creates a new version ID; prior versions and delete markers are readable for history and audit syncs. Projects and Tasks (project.project / project.task) Work items synced with external project tools. Object versions is specific to Amazon S3 and Projects and Tasks (project.project / project.task) to Odoo — each maps to any object or custom field on the other side.
Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. Contacts (res.partner) The unified person/company record used across sales, invoicing, and purchasing; the anchor for CRM syncs. Prefixes (folders) is specific to Amazon S3 and Contacts (res.partner) to Odoo — each maps to any object or custom field on the other side.

How changes propagate between Amazon S3 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 S3 Odoo Sub-second propagation

DetectionAmazon S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge.

DeliveryEach detected change is written to Odoo through its API, with automatic retries and rate-limit backoff.

Odoo Amazon S3 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 written to Amazon S3 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Amazon S3: S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
  • Odoo: Self-hosted instances have no fixed rate limits; Odoo Online is subject to the platform's fair-use limits.
What ships with Amazon S3 ⇄ Odoo

Connect Amazon S3 and Odoo for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Odoo connection.

Real-time

Two-way sync

Changes in Amazon S3 or Odoo instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon S3 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 S3 or Odoo record.

Observability

Monitoring

Track your Amazon S3 ⇄ 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 S3 and Odoo.

How the Amazon S3 and Odoo connectors work

Amazon S3

Integration surface
S3 REST API (also via AWS SDKs and the S3-compatible endpoint)
Authentication
AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles
Change detection
S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge; there is no modified-since query, so polling relies on each object's LastModified from ListObjectsV2
Capabilities
read · write · webhooks
Rate limits
S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.

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 S3 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.

  1. 01

    Connect your apps

    Authenticate Amazon S3 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon S3 connected
    Odoo connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon S3 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon S3 ⇄ Odoo
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon S3 Odoo
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon S3 and Odoo integration FAQ

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.

Learn more about security
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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 511 integrations available for Amazon S3 and Odoo.

Popular · 7 of 511
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