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Data warehouse ⇄ Human resources

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

Keep Snowflake 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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Why teams connect Snowflake and Ukg Pro

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

Stacksync syncs Employee (Person Details), Employment Details, Job / Position History, Compensation Details from Ukg Pro into tables in Snowflake continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Snowflake, 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 Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL
  • 02 Push product usage aggregates from Snowflake into sales and success tools for account prioritization
  • 03 Push new hires (Employee, Employment, Job) into an ERP, IdP, or app database when onboarding completes so account, cost-center, and payroll setup fire on hire instead of manual report exports.
  • 04 Replicate Compensation and pay-statement / earnings history into a warehouse for headcount, labor-cost, and payroll reporting without manual BI exports.

Common sync patterns

Write-back of computed values

Segments, rollups, or risk flags computed in Snowflake sync back onto the matching records in Ukg Pro, where the HR team sees them in the system they already use.

HR data in the warehouse, minus the pipeline

People and organization records from Ukg Pro arrive in Snowflake 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 Snowflake for reporting the HR system cannot produce on its own.

What you can sync between Snowflake 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.

Snowflake objects Ukg Pro objects How this pairing syncs
Tables The main landing and activation target for synced records. 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. Tables is specific to Snowflake and Compensation Details to Ukg Pro — each maps to any object or custom field on the other side.
Views Modeled projections used as the source side of outbound syncs. 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. Views is specific to Snowflake and Payroll (Pay Statements, Direct Deposit, Earnings) to Ukg Pro — each maps to any object or custom field on the other side.
Materialized Views Precomputed results synced outward for low-latency reads. Terminations Termination transactions posted with a terminationDate and a reason code that must match the tenant's configured reason table; drives account deprovisioning. Materialized Views is specific to Snowflake and Terminations to Ukg Pro — each maps to any object or custom field on the other side.
Streams Row-level change records on a table, consumed to process deltas instead of full scans. 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. Streams is specific to Snowflake and Configuration Setup (Code Tables) to Ukg Pro — each maps to any object or custom field on the other side.
Stages File staging areas used for bulk loads into synced tables. Time & Attendance (UTA) Timekeeping and worked-hours data exposed by the UTA services; synced into scheduling, payroll, or workforce-analytics databases. Stages is specific to Snowflake and Time & Attendance (UTA) to Ukg Pro — each maps to any object or custom field on the other side.
Tasks Scheduled SQL used to transform synced data after it lands. 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. Tasks is specific to Snowflake and Employee (Person Details) to Ukg Pro — each maps to any object or custom field on the other side.

How changes propagate between Snowflake 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.

Snowflake Ukg Pro Sub-second propagation

DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.

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

Ukg Pro Snowflake Sub-second propagation

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

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

Rate-limit considerations

  • Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
  • 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 Snowflake ⇄ Ukg Pro

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Snowflake 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 Snowflake or Ukg Pro record.

Observability

Monitoring

Track your Snowflake ⇄ 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 Snowflake and Ukg Pro.

How the Snowflake and Ukg Pro connectors work

Snowflake

Integration surface
SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
Authentication
Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
Change detection
Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
Capabilities
read · write · CDC
Rate limits
No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
Snowflake 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 Snowflake 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 Snowflake 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
    Snowflake connected
    Ukg Pro connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Snowflake 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

Every pair below is a real-time, two-way sync. Search all 547 integrations available for Snowflake and Ukg Pro.

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