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Data warehouse ⇄ ERP

Apache Druid to Odoo integration — real-time, two-way sync

Keep Apache Druid 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 Apache Druid and Odoo

Put Odoo's records in Apache Druid as live tables for reporting and analysis, without extract jobs, and write results back where Odoo can use them.

ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Odoo carries financials, operations, workforce data, or all three, the analysis belongs in Apache Druid next to everything else the company measures.

Stacksync syncs Employees (hr.employee), Projects and Tasks (project.project / project.task), Contacts (res.partner), Sales Orders (sale.order) from Odoo into tables in Apache Druid continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Druid can be written back to fields in Odoo where that is useful.

Common use cases

  • 01 Expose product telemetry stored in Druid to business tools without granting direct cluster access.
  • 02 Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.
  • 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

Group reporting across systems

Combine Odoo's records with data synced from other systems in Apache Druid for consolidated views no single system can produce.

Write-back where Odoo exposes writable fields

Classifications or reference values computed in Apache Druid sync back onto the corresponding records in Odoo.

Where Odoo holds the books: finance reporting from live data

Financial records land in Apache Druid as they change, so period-end reporting queries current numbers rather than last night's extract.

What you can sync between Apache Druid 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.

Apache Druid objects Odoo objects How this pairing syncs
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Products (product.template / product.product) Catalog and variant data distributed to storefronts and quoting tools. Datasources is specific to Apache Druid and Products (product.template / product.product) to Odoo — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. CRM Leads (crm.lead) Leads and opportunities synced with marketing and enrichment systems. Segments is specific to Apache Druid and CRM Leads (crm.lead) to Odoo — each maps to any object or custom field on the other side.
Dimensions String and categorical columns used for filtering and grouping in synced queries. Purchase Orders (purchase.order) Procurement documents shared with supplier-facing systems. Dimensions is specific to Apache Druid and Purchase Orders (purchase.order) to Odoo — each maps to any object or custom field on the other side.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Inventory Transfers (stock.picking) Delivery and receipt operations synced for fulfillment visibility. Metrics is specific to Apache Druid and Inventory Transfers (stock.picking) to Odoo — each maps to any object or custom field on the other side.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Employees (hr.employee) HR records read for directory and provisioning syncs. Ingestion Supervisors is specific to Apache Druid and Employees (hr.employee) to Odoo — each maps to any object or custom field on the other side.
Lookups Key-value mappings joined at query time, refreshable from external systems. Projects and Tasks (project.project / project.task) Work items synced with external project tools. Lookups is specific to Apache Druid and Projects and Tasks (project.project / project.task) to Odoo — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid 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.

Apache Druid Odoo Interval-based propagation

DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.

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

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

Rate-limit considerations

  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
  • Odoo: Self-hosted instances have no fixed rate limits; Odoo Online is subject to the platform's fair-use limits.
What ships with Apache Druid ⇄ Odoo

Connect Apache Druid and Odoo for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Odoo record.

Observability

Monitoring

Track your Apache Druid ⇄ Odoo sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Druid and Odoo.

How the Apache Druid and Odoo connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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

    Choose tables

    Pick the Apache Druid 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 · Apache Druid ⇄ 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
    Apache Druid Odoo
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid 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.

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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 454 integrations available for Apache Druid and Odoo.

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