Two-way sync
Changes in BigQuery or Ukg Ready instantly reflect in both systems. No stale data, no manual imports.
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.
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.
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.
Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
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.
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. |
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.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Ukg Ready connection.
Changes in BigQuery or Ukg Ready instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BigQuery or Ukg Ready data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single BigQuery or Ukg Ready record.
Track your BigQuery ⇄ Ukg Ready sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BigQuery and Ukg Ready.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and Ukg Ready: authenticate both systems, choose the objects to sync (such as BigQuery's Datasets and Projects), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for BigQuery and Ukg Ready: Headcount and cost joined with everything else; Fresh data instead of last night's load; Queryable history for planning and audit. 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.
BigQuery: 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. Ukg Ready: 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. Stacksync manages authentication, retries, and rate limits on both sides.
BigQuery: BigQuery is serverless: there are no clusters or warehouses to size, and storage and compute are billed separately. Ukg Ready: Write support is uneven: Employees, new hires, earnings/payroll imports, and timesheet entries are writable, while some objects are read-only through the API. Stacksync's field mapping accounts for these differences between BigQuery and Ukg Ready without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means BigQuery and Ukg Ready records are not retained after a sync operation.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 542 integrations available for BigQuery and Ukg Ready.