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Data warehouse ⇄ Accounting and finance

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

Keep BigQuery 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.

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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 Workday

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

HR and finance teams sync Workday into BigQuery to analyze workforce data — Workers, Compensation, and Payroll Results — at warehouse scale. Landing these records in BigQuery Datasets enables headcount, cost, and absence analysis joined with the rest of the enterprise data.

Stacksync syncs Payroll Results, Suppliers, Customers and Invoices, Journal Entries from Workday into tables in BigQuery in real time, and the connection works in both directions: values computed in BigQuery 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

  • 01 Model labor costs by joining Payroll Results with financial data in BigQuery.
  • 02 Track headcount by Organization and Position across time using Partitioned tables.
  • 03 Analyze Time Off and Absence patterns without exporting Workday data manually.
  • 04 Push completed payroll results into a finance system or data warehouse each pay cycle.

Common sync patterns

Workforce analytics feed

Workday Workers, Organizations, and Positions replicate into BigQuery Tables for headcount and org-structure reporting.

Compensation and payroll warehouse

Compensation and Payroll Results sync into partitioned BigQuery Datasets for labor-cost analysis over time.

Absence trend reporting

Time Off and Absence records land in BigQuery for utilization and leave-pattern analysis.

What you can sync between BigQuery 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.

BigQuery objects Workday objects How this pairing syncs
Projects Connection scope: the service account grants access per project. Customers and Invoices Financials receivables objects synced for billing visibility where Workday Financials is used. Projects is specific to BigQuery and Customers and Invoices to Workday — 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. Journal Entries Accounting entries imported from external subledgers into Workday Financials. Tables is specific to BigQuery and Journal Entries to Workday — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Custom Reports (RaaS) Tenant-defined reports exposed as web service endpoints, often the practical read surface for syncs. Partitioned tables is specific to BigQuery and Custom Reports (RaaS) to Workday — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Workers The central HCM record covering employment, job, and personal data; the anchor of most syncs. Clustered tables is specific to BigQuery and Workers to Workday — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Organizations Supervisory and company hierarchies read to drive routing and reporting in other systems. Datasets is specific to BigQuery and Organizations to Workday — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Workday

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

Workday BigQuery Interval-based propagation

DetectionStacksync polls Workday for changes on an incremental schedule, reading only records changed since the previous pass. Polling, including transaction-log criteria on SOAP operations to fetch objects changed since a given moment.

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.
What ships with BigQuery ⇄ Workday

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery 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 BigQuery or Workday record.

Observability

Monitoring

Track your BigQuery ⇄ Workday 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 Workday.

How the BigQuery and Workday 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

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

    Choose tables

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

BigQuery and Workday 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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→ 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 531 integrations available for BigQuery and Workday.

Popular · 8 of 531
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