Two-way sync
Changes in PostgreSQL or Ukg Pro instantly reflect in both systems. No stale data, no manual imports.
Keep PostgreSQL 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.
Ukg Pro 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: Terminations, Configuration Setup (Code Tables), Time & Attendance (UTA), Employee (Person Details) in Ukg Pro need to exist as queryable Primary and Unique Keys, JSONB Columns, Sequences, Custom Types and Enums 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 Primary and Unique Keys, JSONB Columns, Sequences, Custom Types and Enums in PostgreSQL with Terminations, Configuration Setup (Code Tables), Time & Attendance (UTA), Employee (Person Details) in Ukg Pro field by field, in real time. You decide which system owns which fields — Ukg Pro 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.
Terminations, Configuration Setup (Code Tables), Time & Attendance (UTA), Employee (Person Details) replicate into PostgreSQL where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
Groups, departments, managers, and reporting lines from Ukg Pro stay consistent in PostgreSQL, so hierarchy-driven logic and permissions don't drift.
Values assembled or corrected in PostgreSQL write onto the matching record in Ukg Pro where those fields are writable, keeping the people system enriched.
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 Pro objects | How this pairing syncs | |
|---|---|---|---|
| JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | 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. | JSONB Columns is specific to PostgreSQL and Configuration Setup (Code Tables) to Ukg Pro — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Time & Attendance (UTA) Timekeeping and worked-hours data exposed by the UTA services; synced into scheduling, payroll, or workforce-analytics databases. | Sequences is specific to PostgreSQL and Time & Attendance (UTA) to Ukg Pro — each maps to any object or custom field on the other side. | |
| Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | 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. | Custom Types and Enums is specific to PostgreSQL and Employee (Person Details) to Ukg Pro — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | Employment Details Employment status, hire and service dates, and company assignment; the record that drives active/terminated state for provisioning downstream. | Tables is specific to PostgreSQL and Employment Details to Ukg Pro — 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. | Job / Position History Effective-dated job, position, department, supervisor, location, and cost center; the most-synced record for org charts, provisioning, and analytics. | Views is specific to PostgreSQL and Job / Position History to Ukg Pro — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets synced outward on a refresh schedule. | 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. | Materialized Views is specific to PostgreSQL and Compensation Details to Ukg Pro — 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 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 Pro through its API, with automatic retries and rate-limit backoff.
DetectionUkg Pro notifies Stacksync of record changes through webhook events. No CDC stream.
DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PostgreSQL–Ukg Pro connection.
Changes in PostgreSQL or Ukg Pro instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever PostgreSQL or Ukg Pro data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single PostgreSQL or Ukg Pro record.
Track your PostgreSQL ⇄ Ukg Pro sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between PostgreSQL and Ukg Pro.
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 PostgreSQL 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.
Pick the PostgreSQL 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.
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 PostgreSQL and Ukg Pro: authenticate both systems, choose the objects to sync (such as PostgreSQL's JSONB Columns and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 PostgreSQL and Ukg Pro records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed PostgreSQL and Ukg Pro connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom PostgreSQL–Ukg Pro integration in-house.
Yes — Stacksync ships production-grade connectors for both PostgreSQL and Ukg Pro. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Pro: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the PostgreSQL side: Primary and Unique Keys, JSONB Columns, Sequences, Custom Types and Enums, plus custom fields where PostgreSQL exposes them. On the Ukg Pro side: Terminations, Configuration Setup (Code Tables), Time & Attendance (UTA), Employee (Person Details). Stacksync auto-detects both schemas and converts types between the two systems.
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 545 integrations available for PostgreSQL and Ukg Pro.