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Data warehouse ⇄ ERP

Databricks to QAD ERP integration — real-time, two-way sync

Keep Databricks and QAD ERP 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

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Why teams connect Databricks and QAD ERP

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

Stacksync syncs Suppliers, Sales orders, Purchase orders, Work orders from QAD ERP 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 QAD ERP where that is useful.

Common use cases

  • Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • Serve ML feature outputs computed in Databricks to production apps through a synced operational store.
  • Sync items, customers, and orders between QAD and a CRM so sales teams work outside ERP screens.
  • Replicate inventory and work-order data into a warehouse for supply chain analytics across plants.

Where QAD ERP 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 QAD ERP runs operations: order and supply analysis

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

Group reporting across systems

Combine QAD ERP'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 QAD ERP

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 QAD ERP objects
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Suppliers Vendor master data aligned with procurement and AP automation tools
Volumes Unity Catalog file storage used for staging bulk loads. Sales orders Demand records written in from EDI or e-commerce and read out for status
SQL Warehouses The compute endpoint a sync connects to for query execution. Purchase orders Procurement documents mirrored to planning and finance systems
Change Data Feed Row-level change records on Delta tables that drive incremental reads. Work orders Production records replicated for scheduling and shop-floor analytics
Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. Inventory balances Stock levels by site and location, synced for multi-plant visibility
Schemas Group tables and views; syncs typically target a dedicated schema per source system. General ledger transactions Financial postings exported for consolidated reporting
What ships with Databricks ⇄ QAD ERP

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks or QAD ERP 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 QAD ERP record.

Observability

Monitoring

Track your Databricks ⇄ QAD ERP 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 QAD ERP.

How the Databricks and QAD ERP 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

QAD ERP

Integration surface
REST APIs plus the QXtend XML integration framework
Authentication
instance credentials; specifics depend on the deployment and version
Change detection
polling on the API surface; document-based event exchange available through QXtend in supported configurations
Capabilities
read · write
Rate limits
subject to instance capacity and the platform's API limits
How it works

How to connect Databricks to QAD ERP — 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 QAD ERP 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
    QAD ERP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Databricks and QAD ERP 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 ⇄ QAD ERP
    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 QAD ERP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Databricks and QAD ERP 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 QAD ERP.

Popular · 8 of 386
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