Real-time
Two-way sync
Changes in Snowflake or Ukg Ready instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Human resources
Snowflake to Ukg Ready integration — real-time, two-way sync
Keep Snowflake 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 Snowflake and Ukg Ready
Land the people and organization records from Ukg Ready in Snowflake 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 Snowflake next to everything else the company measures.
Stacksync syncs Compensation, Timesheet Entries, Accruals / Time Off, Payroll (Earnings / Deductions / Employee Payroll Runs) from Ukg Ready 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 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 Feed finance reconciliation models from ERP data landed in Snowflake on a continuous basis
- 02 Land CRM and ERP records in Snowflake continuously so BI reflects business systems without nightly batch ETL
- 03 Create new-hire Employee records in UKG Ready from an ATS or onboarding workflow, including position, cost center, and compensation fields.
- 04 Feed Timesheet Entries and Accruals/Time Off into a data warehouse for labor-cost, overtime, and PTO-liability reporting.
Common sync patterns
Write-back of computed values
Segments, rollups, or risk flags computed in Snowflake sync back onto the matching records in Ukg Ready, 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 Ready 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 Ready'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 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.
| Snowflake objects | Ukg Ready objects | How this pairing syncs | |
|---|---|---|---|
| Tasks Scheduled SQL used to transform synced data after it lands. | Compensation Salary or hourly rate, pay frequency, and FLSA status; often mastered elsewhere and written onto the employee record, or read into finance. | Tasks is specific to Snowflake and Compensation to Ukg Ready — each maps to any object or custom field on the other side. | |
| VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | Timesheet Entries Time-and-attendance punches, hours worked, and breaks; written from external time systems and read into warehouses for labor-cost reporting. | VARIANT Columns is specific to Snowflake and Timesheet Entries to Ukg Ready — each maps to any object or custom field on the other side. | |
| Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | Accruals / Time Off PTO balances, requests, and approver status; read for liability reporting and requests can be created against employee records. | Virtual Warehouses is specific to Snowflake and Accruals / Time Off to Ukg Ready — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope which data a sync can touch. | Payroll (Earnings / Deductions / Employee Payroll Runs) Earnings and deductions can be imported into pay runs; Employee Payroll Runs (gross, net, taxes) read back for GL posting and analytics. | Databases is specific to Snowflake and Payroll (Earnings / Deductions / Employee Payroll Runs) to Ukg Ready — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to organize synced tables. | Benefits Plan enrollments, coverage tiers, contributions, and effective dates; typically read into benefits or finance systems. | Schemas is specific to Snowflake and Benefits to Ukg Ready — each maps to any object or custom field on the other side. | |
| Tables The main landing and activation target for synced records. | Cost Centers / Groups Departments, locations, and hierarchy used as org structure; read to align headcount and budget models across systems. | Tables is specific to Snowflake and Cost Centers / Groups to Ukg Ready — each maps to any object or custom field on the other side. |
How changes propagate between Snowflake 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.
Snowflake Ukg Ready 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 Ready through its API, with automatic retries and rate-limit backoff.
Ukg Ready Snowflake 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 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 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 Snowflake ⇄ Ukg Ready
Connect Snowflake and Ukg Ready for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Snowflake–Ukg Ready connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Snowflake 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 Snowflake or Ukg Ready record.
Observability
Monitoring
Track your Snowflake ⇄ 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 Snowflake and Ukg Ready.
How the Snowflake and Ukg Ready 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
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 Snowflake 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.
- 01
Connect your apps
Authenticate Snowflake 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.
Snowflake
connected
Ukg Ready
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Snowflake 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.
objects · Snowflake ⇄ Ukg ReadyCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Snowflake Ukg ReadyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Snowflake and Ukg Ready integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Snowflake and Ukg Ready: authenticate both systems, choose the objects to sync (such as Snowflake's Tasks and VARIANT Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Snowflake and Ukg Ready. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. On Ukg Ready: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Snowflake side: Virtual Warehouses, Databases, Schemas, Tables, plus custom fields where Snowflake exposes them. On the Ukg Ready side: Compensation, Timesheet Entries, Accruals / Time Off, Payroll (Earnings / Deductions / Employee Payroll Runs). Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Snowflake and Ukg Ready: Write-back of computed values; HR data in the warehouse, minus the pipeline; Headcount and cost joined with everything else. Segments, rollups, or risk flags computed in Snowflake sync back onto the matching records in Ukg Ready, where the HR team sees them in the system they already use.
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
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