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Data warehouse ⇄ ERP

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

Keep Apache Druid and DEAR Inventory 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 DEAR Inventory

Put DEAR Inventory's records in Apache Druid as live tables for reporting and analysis, without extract jobs, and write results back where DEAR Inventory 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 DEAR Inventory carries financials, operations, workforce data, or all three, the analysis belongs in Apache Druid next to everything else the company measures.

Stacksync syncs Suppliers, Stock adjustments and transfers, Assemblies / Production, Locations from DEAR Inventory 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 DEAR Inventory where that is useful.

Common use cases

  • Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.
  • Expose product telemetry stored in Druid to business tools without granting direct cluster access.
  • Sync stock levels and product data to e-commerce storefronts and a CRM so sales quotes reflect real availability.
  • Push sale orders from a storefront or CRM into DEAR for fulfillment without manual re-entry.

Where DEAR Inventory is the HR system of record: workforce analytics

Worker and organization data syncs into Apache Druid for headcount, cost, and planning analysis alongside other company data.

Where DEAR Inventory runs operations: order and supply analysis

Operational records become queryable tables in Apache Druid, joinable with sales and finance data.

Group reporting across systems

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

What you can sync between Apache Druid and DEAR Inventory

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 DEAR Inventory objects
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs.
Dimensions String and categorical columns used for filtering and grouping in synced queries. Purchase orders Supplier orders and receiving records synced with accounting and planning tools.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Customers Buyer records aligned with CRM and accounting counterparts.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Suppliers Vendor records referenced on purchase orders.
Lookups Key-value mappings joined at query time, refreshable from external systems. Stock adjustments and transfers Inventory movement transactions that explain changes in availability.
What ships with Apache Druid ⇄ DEAR Inventory

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid or DEAR Inventory 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 DEAR Inventory record.

Observability

Monitoring

Track your Apache Druid ⇄ DEAR Inventory 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 DEAR Inventory.

How the Apache Druid and DEAR Inventory 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

DEAR Inventory

Integration surface
REST API
Authentication
Account ID plus application key sent as request headers
Change detection
Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's per-account API rate limits
How it works

How to connect Apache Druid to DEAR Inventory — 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 DEAR Inventory 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
    DEAR Inventory connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Druid and DEAR Inventory 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 ⇄ DEAR Inventory
    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 DEAR Inventory
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid and DEAR Inventory integration FAQ

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.

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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 386 integrations available for Apache Druid and DEAR Inventory.

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