Skip to content
Data warehouse ⇄ ERP

Databricks to JobBOSS² integration — real-time, two-way sync

Keep Databricks 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 Databricks and JobBOSS²

Put JobBOSS²'s records in Databricks 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 Databricks next to everything else the company measures.

Stacksync syncs Routings & Operations, Materials & Inventory, Purchase Orders, Vendors from JobBOSS² into tables in Databricks continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Databricks can be written back to fields in JobBOSS² where that is useful.

Common use cases

  • Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
  • Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • 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

Where JobBOSS² is the HR system of record: workforce analytics

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

Where JobBOSS² runs operations: order and supply analysis

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

Group reporting across systems

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

What you can sync between Databricks 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.

Databricks objects JobBOSS² objects
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Materials & Inventory Material and stock data feed purchasing and availability checks.
Volumes Unity Catalog file storage used for staging bulk loads. Purchase Orders PO data syncs outward for spend and receiving visibility.
SQL Warehouses The compute endpoint a sync connects to for query execution. Vendors Vendor records keep procurement and accounting tools consistent.
Change Data Feed Row-level change records on Delta tables that drive incremental reads. Time Entries Shop-floor time data consolidates into costing and payroll reporting.
Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. Invoices Billing documents flow to accounting and BI systems.
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Shipments Shipment records close the loop to customers and CRM records.
What ships with Databricks ⇄ JobBOSS²

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks 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 Databricks or JobBOSS² record.

Observability

Monitoring

Track your Databricks ⇄ JobBOSS² sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Databricks and JobBOSS².

How the Databricks and JobBOSS² connectors work

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits

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 Databricks 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 Databricks 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
    Databricks connected
    JobBOSS² connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Databricks 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 · Databricks ⇄ 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
    Databricks JobBOSS²
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Databricks 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 Databricks and JobBOSS².

Popular · 8 of 386
All Databricks 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