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Data warehouse ⇄ Accounting and finance

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

Keep Databricks and Workday 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 Workday

Land the financial records from Workday in Databricks continuously, and write results back, without building or maintaining a pipeline.

Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.

Stacksync syncs Organizations, Positions, Compensation, Time Off and Absence from Workday into tables in Databricks in real time, and the connection works in both directions: values computed in Databricks can be written back to fields in Workday where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.

Common use cases

  • Sync worker records from Workday into IT and identity systems so hires, transfers, and terminations provision access automatically.
  • Replicate worker, organization, and compensation data into a secured database for people analytics without giving analysts tenant access.
  • 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.

Finance analytics without ETL

Invoices, payments, and customer records from Workday arrive in Databricks as queryable tables, current within seconds instead of a day behind.

Revenue joined with everything else

Analysts combine Workday's financial records with product, marketing, or operational data already in Databricks for reporting the finance system cannot do alone.

Write-back of computed fields

Scores or segments computed in Databricks, like payment-risk flags or customer tiers, sync back onto records in Workday where the finance team can act on them.

What you can sync between Databricks and Workday

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 Workday objects
Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. Workers The central HCM record covering employment, job, and personal data; the anchor of most syncs.
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Organizations Supervisory and company hierarchies read to drive routing and reporting in other systems.
Delta Tables The primary read and write target; operational data lands here as managed or external tables. Positions Job seats synced with recruiting and planning tools.
Views Curated read-only projections used as sync sources for downstream tools. Compensation Pay components read into payroll, planning, and equity systems under strict access control.
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Time Off and Absence Balances and requests synced with scheduling and workforce tools.
Volumes Unity Catalog file storage used for staging bulk loads. Payroll Results Completed pay data exported to finance and benefits systems.
What ships with Databricks ⇄ Workday

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks or Workday 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 Workday record.

Observability

Monitoring

Track your Databricks ⇄ Workday 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 Workday.

How the Databricks and Workday 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

Workday

Integration surface
SOAP Workday Web Services (WWS), a REST API, and Reports-as-a-Service (RaaS) endpoints for custom reports
Authentication
OAuth 2.0 for the REST API; integration system users with WS-Security or certificate-based auth for SOAP
Change detection
Polling, including transaction-log criteria on SOAP operations to fetch objects changed since a given moment; no general webhook surface
Capabilities
read · write
How it works

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

    Choose tables

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

Databricks and Workday 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 Workday.

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