Real-time
Two-way sync
Changes in PostgreSQL or Ukg Ready instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Human resources
PostgreSQL to Ukg Ready integration — real-time, two-way sync
Keep PostgreSQL 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 PostgreSQL and Ukg Ready
Put your workforce data where your apps can reach it: PostgreSQL and Ukg Ready share the same people, positions, and org structure in real time.
Ukg Ready is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. PostgreSQL is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Employment / Positions, Compensation, Timesheet Entries, Accruals / Time Off in Ukg Ready need to exist as queryable JSONB Columns, Sequences, Custom Types and Enums, Tables in PostgreSQL before an app can act on them. When that bridge is a nightly export or a hand-run CSV, every downstream system spends the day working from a roster that has already moved on.
Stacksync syncs JSONB Columns, Sequences, Custom Types and Enums, Tables in PostgreSQL with Employment / Positions, Compensation, Timesheet Entries, Accruals / Time Off in Ukg Ready field by field, in real time. You decide which system owns which fields — Ukg Ready typically owns identity and org attributes, while operational or computed values can flow back the other way — and Stacksync keeps every copy consistent, matching records on a stable key and resolving conflicts by rules you set.
The result is one live picture of the workforce on both sides: HR keeps its source of truth, and the database keeps a current mirror that internal apps, reports, and access controls can trust without a batch window in between.
Common use cases
- 01 Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
- 02 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
- 03 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.
- 04 Import computed Earnings and deductions into UKG Ready payroll runs from a warehouse or external time-tracking system ahead of each pay period.
Common sync patterns
Org and structure stay aligned
Groups, departments, managers, and reporting lines from Ukg Ready stay consistent in PostgreSQL, so hierarchy-driven logic and permissions don't drift.
Computed and operational fields flow back
Values assembled or corrected in PostgreSQL write onto the matching record in Ukg Ready where those fields are writable, keeping the people system enriched.
Mirror people records into the database
Records maintained in Ukg Ready land as queryable JSONB Columns, Sequences, Custom Types and Enums, Tables in PostgreSQL, so internal apps and dashboards read live data instead of a periodic export.
What you can sync between PostgreSQL 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.
| PostgreSQL objects | Ukg Ready objects | How this pairing syncs | |
|---|---|---|---|
| Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | Employees Core person records (demographics, contact info, status, work location); synced two-way and mapped to HRIS or person tables in a database. | Tables is specific to PostgreSQL and Employees to Ukg Ready — each maps to any object or custom field on the other side. | |
| Views Read-side projections used to expose joined or filtered data to a sync. | Employment / Positions Job title, department, employment type, hire and termination dates; read for org modeling and written when roles change. | Views is specific to PostgreSQL and Employment / Positions to Ukg Ready — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets synced outward on a refresh schedule. | Compensation Salary or hourly rate, pay frequency, and FLSA status; often mastered elsewhere and written onto the employee record, or read into finance. | Materialized Views is specific to PostgreSQL and Compensation to Ukg Ready — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Timesheet Entries Time-and-attendance punches, hours worked, and breaks; written from external time systems and read into warehouses for labor-cost reporting. | Schemas is specific to PostgreSQL and Timesheet Entries to Ukg Ready — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets; types are mapped to the connected system's field types. | Accruals / Time Off PTO balances, requests, and approver status; read for liability reporting and requests can be created against employee records. | Columns is specific to PostgreSQL and Accruals / Time Off to Ukg Ready — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | 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. | Primary and Unique Keys is specific to PostgreSQL and Payroll (Earnings / Deductions / Employee Payroll Runs) to Ukg Ready — each maps to any object or custom field on the other side. |
How changes propagate between PostgreSQL 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.
PostgreSQL Ukg Ready Sub-second propagation
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
DeliveryEach detected change is written to Ukg Ready through its API, with automatic retries and rate-limit backoff.
Ukg Ready PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
- 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 PostgreSQL ⇄ Ukg Ready
Connect PostgreSQL and Ukg Ready for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PostgreSQL–Ukg Ready connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever PostgreSQL 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 PostgreSQL or Ukg Ready record.
Observability
Monitoring
Track your PostgreSQL ⇄ 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 PostgreSQL and Ukg Ready.
How the PostgreSQL and Ukg Ready connectors work
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
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 PostgreSQL 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 PostgreSQL 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.
PostgreSQL
connected
Ukg Ready
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the PostgreSQL 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 · PostgreSQL ⇄ 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.
PostgreSQL Ukg ReadyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
PostgreSQL and Ukg Ready integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between PostgreSQL and Ukg Ready: authenticate both systems, choose the objects to sync (such as PostgreSQL's Tables and Views), 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 PostgreSQL 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 PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. 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.
-
On the PostgreSQL side: JSONB Columns, Sequences, Custom Types and Enums, Tables, plus custom fields where PostgreSQL exposes them. On the Ukg Ready side: Employment / Positions, Compensation, Timesheet Entries, Accruals / Time Off. 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 PostgreSQL and Ukg Ready: Org and structure stay aligned; Computed and operational fields flow back; Mirror people records into the database. Groups, departments, managers, and reporting lines from Ukg Ready stay consistent in PostgreSQL, so hierarchy-driven logic and permissions don't drift.
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 545 integrations available for PostgreSQL and Ukg Ready.
Popular · 8 of 545
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PostgreSQL ⇄ Oracle Fusion Cloud HCM -
PostgreSQL ⇄ Smartrecruiters - PostgreSQL ⇄ Ukg Pro
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PostgreSQL ⇄ Greenhouse -
Ukg Ready ⇄ YugabyteDB -
Ukg Ready ⇄ Amazon DynamoDB -
Ukg Ready ⇄ Reltio -
Ukg Ready ⇄ SAP Hana
No integrations match .
