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Data warehouse ⇄ Human resources

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

Keep BigQuery and Ukg Ready 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 BigQuery and Ukg Ready

Land the people and organization records from Ukg Ready in BigQuery as live tables for workforce reporting, without extract jobs, and write computed results back where Ukg Ready 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 Ready 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 Accruals / Time Off, Payroll (Earnings / Deductions / Employee Payroll Runs), Benefits, Cost Centers / Groups from Ukg Ready 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 Ready 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 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
  • 02 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
  • 03 Mirror Cost Centers/Groups and Compensation into finance and planning systems for headcount and budget reconciliation.
  • 04 Two-way sync Employees and Employment/Position records with an operational Postgres database so internal apps and IT provisioning read job title, department, and status in SQL while HR edits in UKG Ready.

Common sync patterns

Headcount and cost joined with everything else

Analysts combine Ukg Ready'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.

Queryable history for planning and audit

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

What you can sync between BigQuery and Ukg Ready

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 Ready objects How this pairing syncs
Datasets Organizational container — you pick which dataset’s tables to sync. Employees Core person records (demographics, contact info, status, work location); synced two-way and mapped to HRIS or person tables in a database. Datasets is specific to BigQuery and Employees to Ukg Ready — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Employment / Positions Job title, department, employment type, hire and termination dates; read for org modeling and written when roles change. Projects is specific to BigQuery and Employment / Positions to Ukg Ready — 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. Compensation Salary or hourly rate, pay frequency, and FLSA status; often mastered elsewhere and written onto the employee record, or read into finance. Tables is specific to BigQuery and Compensation to Ukg Ready — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Timesheet Entries Time-and-attendance punches, hours worked, and breaks; written from external time systems and read into warehouses for labor-cost reporting. Partitioned tables is specific to BigQuery and Timesheet Entries to Ukg Ready — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Accruals / Time Off PTO balances, requests, and approver status; read for liability reporting and requests can be created against employee records. Clustered tables is specific to BigQuery and Accruals / Time Off to Ukg Ready — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Ukg Ready

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 Ready 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 Ready through its API, with automatic retries and rate-limit backoff.

Ukg Ready BigQuery Sub-second propagation

DetectionUkg Ready notifies Stacksync of record changes through webhook events. UKG Webhooks for select events (employee.created, employee.updated, account/org changes) with HMAC signing.

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 Ready: Rate limits apply over roughly a 1-minute window and return HTTP 429 when exceeded (back off / exponential retry); UKG Webhooks run on a tiered quota with a free tier around 10,000 event notifications per month and 14-day event retention.
What ships with BigQuery ⇄ Ukg Ready

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Ukg Ready 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 Ready record.

Observability

Monitoring

Track your BigQuery ⇄ Ukg Ready 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 Ready.

How the BigQuery and Ukg Ready 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 Ready

Integration surface
UKG Ready REST API (v1/v2) plus the Import Tool (XML transactions) and Report-as-a-Service (IBM Cognos); a legacy SOAP API also exists
Authentication
A 7-digit company short name, a Web API key (Company Setup > Login Config), and a dedicated API service-account user (username/password) are exchanged for a session Bearer token sent on every request; Onboarding/Recruiting endpoints use a separate authorization token
Change detection
UKG Webhooks for select events (employee.created, employee.updated, account/org changes) with HMAC signing; broad change capture via polling REST endpoints with date filters or scheduled Report-as-a-Service extracts
Capabilities
read · write · webhooks
Rate limits
Rate limits apply over roughly a 1-minute window and return HTTP 429 when exceeded (back off / exponential retry); UKG Webhooks run on a tiered quota with a free tier around 10,000 event notifications per month and 14-day event retention
How it works

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

    Choose tables

    Pick the BigQuery and Ukg Ready 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 Ready
    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 Ready
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

BigQuery and Ukg Ready 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 Ready.

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