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Database ⇄ Human resources

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

Keep Postgres Heroku 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Postgres Heroku and Ukg Pro

Put your workforce data where your apps can reach it: Postgres Heroku and Ukg Pro share the same people, positions, and org structure in real time.

Ukg Pro is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Postgres Heroku is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Employment Details, Job / Position History, Compensation Details, Payroll (Pay Statements, Direct Deposit, Earnings) in Ukg Pro need to exist as queryable Views, Materialized Views, Schemas, Primary and Unique Keys in Postgres Heroku 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 Views, Materialized Views, Schemas, Primary and Unique Keys in Postgres Heroku with Employment Details, Job / Position History, Compensation Details, Payroll (Pay Statements, Direct Deposit, Earnings) 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.

Common use cases

  • 01 Expose CRM objects as Postgres tables the Heroku application can query and join directly
  • 02 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
  • 03 Keep Configuration code tables (jobs, locations, departments, cost centers) aligned between UKG Pro and an ERP so org and cost-center hierarchies match.
  • 04 Two-way sync of Employee and Job Details (position, department, supervisor, location, cost center) into Postgres so provisioning, internal apps, and analytics read current worker and org data in SQL while HR edits in UKG Pro.

Common sync patterns

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Ukg Pro stay consistent in Postgres Heroku, so hierarchy-driven logic and permissions don't drift.

Computed and operational fields flow back

Values assembled or corrected in Postgres Heroku write onto the matching record in Ukg Pro where those fields are writable, keeping the people system enriched.

Mirror people records into the database

Records maintained in Ukg Pro land as queryable Views, Materialized Views, Schemas, Primary and Unique Keys in Postgres Heroku, so internal apps and dashboards read live data instead of a periodic export.

What you can sync between Postgres Heroku 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.

Postgres Heroku objects Ukg Pro objects How this pairing syncs
Tables Standard Postgres tables; the primary two-way sync target for app data. 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. Tables is specific to Postgres Heroku and Payroll (Pay Statements, Direct Deposit, Earnings) to Ukg Pro — each maps to any object or custom field on the other side.
Views Read-side projections exposed to outbound syncs. Terminations Termination transactions posted with a terminationDate and a reason code that must match the tenant's configured reason table; drives account deprovisioning. Views is specific to Postgres Heroku and Terminations to Ukg Pro — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets synced outward on refresh. 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. Materialized Views is specific to Postgres Heroku and Configuration Setup (Code Tables) to Ukg Pro — each maps to any object or custom field on the other side.
Schemas Namespaces that scope which tables a sync reads and writes. Time & Attendance (UTA) Timekeeping and worked-hours data exposed by the UTA services; synced into scheduling, payroll, or workforce-analytics databases. Schemas is specific to Postgres Heroku and Time & Attendance (UTA) to Ukg Pro — each maps to any object or custom field on the other side.
Primary and Unique Keys Match keys for idempotent upserts from connected systems. 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. Primary and Unique Keys is specific to Postgres Heroku and Employee (Person Details) to Ukg Pro — each maps to any object or custom field on the other side.
JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Employment Details Employment status, hire and service dates, and company assignment; the record that drives active/terminated state for provisioning downstream. JSONB Columns is specific to Postgres Heroku and Employment Details to Ukg Pro — each maps to any object or custom field on the other side.

How changes propagate between Postgres Heroku 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.

Postgres Heroku Ukg Pro Interval-based propagation

DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.

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

Ukg Pro Postgres Heroku Sub-second propagation

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

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

Rate-limit considerations

  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
  • 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 Postgres Heroku ⇄ Ukg Pro

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or Ukg Pro record.

Observability

Monitoring

Track your Postgres Heroku ⇄ 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 Postgres Heroku and Ukg Pro.

How the Postgres Heroku and Ukg Pro connectors work

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan

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 Postgres Heroku 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 Postgres Heroku 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
    Postgres Heroku connected
    Ukg Pro connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Postgres Heroku 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

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