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Data warehouse ⇄ Human resources

Databricks to Ukg Pro integration — real-time, two-way sync

Keep Databricks and Ukg Pro 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 Databricks and Ukg Pro

Land the people and organization records from Ukg Pro in Databricks as live tables for workforce reporting, without extract jobs, and write computed results back where Ukg Pro can use them.

Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether Ukg Pro is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Databricks next to everything else the company measures.

Stacksync syncs Terminations, Configuration Setup (Code Tables), Time & Attendance (UTA), Employee (Person Details) from Ukg Pro into tables in Databricks continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Databricks, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Ukg Pro where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.

Common use cases

  • 01 Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • 02 Serve ML feature outputs computed in Databricks to production apps through a synced operational store.
  • 03 Replicate Compensation and pay-statement / earnings history into a warehouse for headcount, labor-cost, and payroll reporting without manual BI exports.
  • 04 Deprovision accounts by subscribing to UKG Pro termination and job-change webhook events to disable IdP and app access as changes become effective.

Common sync patterns

Headcount and cost joined with everything else

Analysts combine Ukg Pro's workforce records with finance, product, or operational data already in Databricks for reporting the HR system cannot produce on its own.

Fresh data instead of last night's load

Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.

Queryable history for planning and audit

A continuously synced copy in Databricks gives you a durable, queryable record of how Ukg Pro's records change over time, for headcount planning and audit questions.

What you can sync between Databricks and Ukg Pro

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 Ukg Pro objects How this pairing syncs
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Employee (Person Details) Core worker record with demographics and identifiers; read by listing employee IDs then fetching each profile, and created on hire via the personnel/onboarding endpoints. Schemas is specific to Databricks and Employee (Person Details) to Ukg Pro — each maps to any object or custom field on the other side.
Delta Tables The primary read and write target; operational data lands here as managed or external tables. Employment Details Employment status, hire and service dates, and company assignment; the record that drives active/terminated state for provisioning downstream. Delta Tables is specific to Databricks and Employment Details to Ukg Pro — each maps to any object or custom field on the other side.
Views Curated read-only projections used as sync sources for downstream tools. Job / Position History Effective-dated job, position, department, supervisor, location, and cost center; the most-synced record for org charts, provisioning, and analytics. Views is specific to Databricks and Job / Position History to Ukg Pro — each maps to any object or custom field on the other side.
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Compensation Details Effective-dated pay rate and salary; usually read into a warehouse for comp reporting and writable as new dated changes through the compensation endpoints. Materialized Views is specific to Databricks and Compensation Details to Ukg Pro — each maps to any object or custom field on the other side.
Volumes Unity Catalog file storage used for staging bulk loads. Payroll (Pay Statements, Direct Deposit, Earnings) Pay statements, direct-deposit accounts, and earnings history; read-only pay data replicated into finance and warehouse systems for labor-cost reporting. Volumes is specific to Databricks and Payroll (Pay Statements, Direct Deposit, Earnings) to Ukg Pro — each maps to any object or custom field on the other side.
SQL Warehouses The compute endpoint a sync connects to for query execution. Terminations Termination transactions posted with a terminationDate and a reason code that must match the tenant's configured reason table; drives account deprovisioning. SQL Warehouses is specific to Databricks and Terminations to Ukg Pro — each maps to any object or custom field on the other side.

How changes propagate between Databricks and Ukg Pro

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Databricks Ukg Pro Sub-second propagation

DetectionChanges in Databricks are captured at the source via change data capture — no polling loop against its API. Delta Lake Change Data Feed for row-level changes.

DeliveryEach detected change is written to Ukg Pro through its API, with automatic retries and rate-limit backoff.

Ukg Pro Databricks Sub-second propagation

DetectionUkg Pro notifies Stacksync of record changes through webhook events. No CDC stream.

DeliveryEach detected change is applied to Databricks as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Databricks: Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits.
  • Ukg Pro: An API gateway throttles calls per client over a rolling window (typically per minute); UKG does not publish exact numeric thresholds. Exceeding the limit returns HTTP 429, and UKG recommends a roughly one-second looping backoff before resuming (a Retry-After header is not yet standard). Reads are offset-paginated.
What ships with Databricks ⇄ Ukg Pro

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks or Ukg Pro 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 Ukg Pro record.

Observability

Monitoring

Track your Databricks ⇄ Ukg Pro 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 Ukg Pro.

How the Databricks and Ukg Pro 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

Ukg Pro

Integration surface
REST API (UKG Pro HCM REST services) with separate Onboarding and Recruiting REST APIs, plus legacy SOAP-based UKG Pro Web Services
Authentication
Core HCM REST APIs use HTTP Basic authentication with a dedicated web service account, plus a Customer API Key and a User API Key sent as headers (found under System Configuration > Security > Service Account Administration); the Onboarding and Recruiting REST APIs instead require a bearer Authorization Token from the token endpoint.
Change detection
No CDC stream. UKG Pro publishes Pro HCM Webhook Events for changes such as new hire, employee and job detail changes, termination, and PTO, which Stacksync subscribes to for near-real-time triggers; bulk and historical loads use paged reads with each service's modified-since filters.
Capabilities
read · write · webhooks
Rate limits
An API gateway throttles calls per client over a rolling window (typically per minute); UKG does not publish exact numeric thresholds. Exceeding the limit returns HTTP 429, and UKG recommends a roughly one-second looping backoff before resuming (a Retry-After header is not yet standard). Reads are offset-paginated.
Ukg Pro setup guide
How it works

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

    Choose tables

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

Databricks and Ukg Pro integration FAQ

SECURITY

Security teams trust 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

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