Skip to content
Data warehouse ⇄ ERP

Apache Druid to JobBOSS² integration — real-time, two-way sync

Keep Apache Druid and JobBOSS² 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 Apache Druid and JobBOSS²

Put JobBOSS²'s records in Apache Druid as live tables for reporting and analysis, without extract jobs, and write results back where JobBOSS² 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 JobBOSS² carries financials, operations, workforce data, or all three, the analysis belongs in Apache Druid next to everything else the company measures.

Stacksync syncs Time Entries, Invoices, Shipments, Customers from JobBOSS² 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 JobBOSS² where that is useful.

Common use cases

  • Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.
  • Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.
  • Keep customer and vendor records consistent between JobBOSS² and the rest of the stack
  • Sync quotes and jobs from JobBOSS² to a CRM so estimators and sales share live status on make-to-order work

Group reporting across systems

Combine JobBOSS²'s records with data synced from other systems in Apache Druid for consolidated views no single system can produce.

Write-back where JobBOSS² exposes writable fields

Classifications or reference values computed in Apache Druid sync back onto the corresponding records in JobBOSS².

Where JobBOSS² 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 JobBOSS²

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 JobBOSS² objects
Dimensions String and categorical columns used for filtering and grouping in synced queries. Customers Customer records sync with CRM accounts so sales and the shop share one file.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Quotes / Estimates Estimating records sync to CRM pipelines so quote status is visible outside the ERP.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Jobs / Work Orders Job records carry production status back to sales and customer-facing tools.
Lookups Key-value mappings joined at query time, refreshable from external systems. Routings & Operations Operation steps support scheduling and costing data in external reporting.
Tasks Batch ingestion and compaction jobs monitored during data loads. Materials & Inventory Material and stock data feed purchasing and availability checks.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Purchase Orders PO data syncs outward for spend and receiving visibility.
What ships with Apache Druid ⇄ JobBOSS²

Connect Apache Druid and JobBOSS² for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–JobBOSS² connection.

Real-time

Two-way sync

Changes in Apache Druid or JobBOSS² instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid or JobBOSS² 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 JobBOSS² record.

Observability

Monitoring

Track your Apache Druid ⇄ JobBOSS² 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 JobBOSS².

How the Apache Druid and JobBOSS² 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

JobBOSS²

Integration surface
REST API (vendor-provided; coverage varies by edition and deployment)
Authentication
API key or vendor-issued credentials
Change detection
Polling
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits
How it works

How to connect Apache Druid to JobBOSS² — 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 JobBOSS² 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
    JobBOSS² connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Druid and JobBOSS² 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 ⇄ JobBOSS²
    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 JobBOSS²
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Apache Druid and JobBOSS² 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.

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 386 integrations available for Apache Druid and JobBOSS².

Popular · 8 of 386
All Apache Druid integrations All JobBOSS² 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