Skip to content
Database ⇄ ERP

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

Keep Amazon DynamoDB 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon DynamoDB and Odoo

Give your engineers Odoo's data in Amazon DynamoDB: 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 DynamoDB 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 DynamoDB sync back into Odoo with its validations respected.

Common use cases

  • 01 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
  • 02 Use DynamoDB Streams as a change-data-capture source to push item INSERT, MODIFY, and REMOVE events into a CRM, search index, or operational database in near-real-time.
  • 03 Sync employee records from an HR system of record into Odoo for expense and timesheet workflows.
  • 04 Sync Odoo contacts and CRM leads with an external CRM when sales runs outside Odoo but invoicing stays in it.

Common sync patterns

React to ERP changes

Updates in Odoo arrive as row changes in Amazon DynamoDB, 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 DynamoDB for provisioning, access, and reporting systems that read from the database.

Controlled write-back

Choose exactly which tables and fields may flow from Amazon DynamoDB back into Odoo, keeping the ERP authoritative.

What you can sync between Amazon DynamoDB 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 DynamoDB objects Odoo objects How this pairing syncs
Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Inventory Transfers (stock.picking) Delivery and receipt operations synced for fulfillment visibility. Time to Live (TTL) is specific to Amazon DynamoDB and Inventory Transfers (stock.picking) to Odoo — each maps to any object or custom field on the other side.
Tables Top-level containers, each with a partition key and optional sort key; Stacksync syncs a table as a stream of items with full read and write via PutItem, UpdateItem, and DeleteItem. Employees (hr.employee) HR records read for directory and provisioning syncs. Tables is specific to Amazon DynamoDB and Employees (hr.employee) to Odoo — each maps to any object or custom field on the other side.
Items Individual schemaless records (attributes up to 400 KB each); read with GetItem, Query, and Scan and written with PutItem or BatchWriteItem, so write is supported here. Projects and Tasks (project.project / project.task) Work items synced with external project tools. Items is specific to Amazon DynamoDB and Projects and Tasks (project.project / project.task) to Odoo — each maps to any object or custom field on the other side.
Global secondary indexes (GSIs) Alternate key projections that let you Query by non-key attributes without a full table Scan; read-only views maintained automatically by DynamoDB. Contacts (res.partner) The unified person/company record used across sales, invoicing, and purchasing; the anchor for CRM syncs. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Contacts (res.partner) to Odoo — each maps to any object or custom field on the other side.
Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. Sales Orders (sale.order) Quotations and confirmed orders synced with e-commerce and external CRMs. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Sales Orders (sale.order) to Odoo — each maps to any object or custom field on the other side.
DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. Invoices (account.move) Customer invoices and journal entries synced with accounting and reporting tools. DynamoDB Streams is specific to Amazon DynamoDB and Invoices (account.move) to Odoo — each maps to any object or custom field on the other side.

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

DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.

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

Odoo Amazon DynamoDB 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 DynamoDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon DynamoDB: Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
  • Odoo: Self-hosted instances have no fixed rate limits; Odoo Online is subject to the platform's fair-use limits.
What ships with Amazon DynamoDB ⇄ Odoo

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB 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 DynamoDB or Odoo record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ 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 DynamoDB and Odoo.

How the Amazon DynamoDB and Odoo connectors work

Amazon DynamoDB

Integration surface
AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture.
Authentication
AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level.
Change detection
DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks.
Capabilities
read · write · CDC
Rate limits
Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.

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 DynamoDB 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 DynamoDB 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 DynamoDB connected
    Odoo connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon DynamoDB 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 DynamoDB ⇄ 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 DynamoDB Odoo
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Amazon DynamoDB 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
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:

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 552 integrations available for Amazon DynamoDB and Odoo.

Popular · 8 of 552
All Amazon DynamoDB integrations All Odoo integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own