Skip to content
Data warehouse ⇄ Human resources

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

Keep BigQuery 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.

  • 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 BigQuery and Ukg Pro

Land the people and organization records from Ukg Pro in BigQuery 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 BigQuery next to everything else the company measures.

Stacksync syncs Time & Attendance (UTA), Employee (Person Details), Employment Details, Job / Position History from Ukg Pro into tables in BigQuery continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in BigQuery, 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 Feed ML feature tables in BigQuery from operational systems on a continuous schedule
  • 02 Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • 03 Deprovision accounts by subscribing to UKG Pro termination and job-change webhook events to disable IdP and app access as changes become effective.
  • 04 Keep Configuration code tables (jobs, locations, departments, cost centers) aligned between UKG Pro and an ERP so org and cost-center hierarchies match.

Common sync patterns

HR data in the warehouse, minus the pipeline

People and organization records from Ukg Pro arrive in BigQuery as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.

Headcount and cost joined with everything else

Analysts combine Ukg Pro's workforce records with finance, product, or operational data already in BigQuery 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.

What you can sync between BigQuery 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.

BigQuery objects Ukg Pro objects How this pairing syncs
Clustered tables Supported; clustering is transparent to the sync. Terminations Termination transactions posted with a terminationDate and a reason code that must match the tenant's configured reason table; drives account deprovisioning. Clustered tables is specific to BigQuery and Terminations to Ukg Pro — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Configuration Setup (Code Tables) Reference data such as jobs, locations, positions, earnings, and deduction codes; used to resolve and validate field values when mapping records during sync. Datasets is specific to BigQuery and Configuration Setup (Code Tables) to Ukg Pro — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Time & Attendance (UTA) Timekeeping and worked-hours data exposed by the UTA services; synced into scheduling, payroll, or workforce-analytics databases. Projects is specific to BigQuery and Time & Attendance (UTA) to Ukg Pro — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. 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. Tables is specific to BigQuery and Employee (Person Details) to Ukg Pro — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Employment Details Employment status, hire and service dates, and company assignment; the record that drives active/terminated state for provisioning downstream. Partitioned tables is specific to BigQuery and Employment Details to Ukg Pro — each maps to any object or custom field on the other side.

How changes propagate between BigQuery 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.

BigQuery Ukg Pro Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

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

Ukg Pro BigQuery Sub-second propagation

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

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

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • 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 BigQuery ⇄ Ukg Pro

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery 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 BigQuery or Ukg Pro record.

Observability

Monitoring

Track your BigQuery ⇄ 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 BigQuery and Ukg Pro.

How the BigQuery and Ukg Pro connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

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 BigQuery 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 BigQuery 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
    BigQuery connected
    Ukg Pro connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

BigQuery 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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 542 integrations available for BigQuery and Ukg Pro.

Popular · 8 of 542
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.