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Database ⇄ Human resources

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

Keep Postgres Heroku 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 Postgres Heroku and Ukg Ready

Put your workforce data where your apps can reach it: Postgres Heroku 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. Postgres Heroku is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Employees, Employment / Positions, Compensation, Timesheet Entries in Ukg Ready need to exist as queryable JSONB Columns, Sequences, Follower Databases, Tables 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 JSONB Columns, Sequences, Follower Databases, Tables in Postgres Heroku with Employees, Employment / Positions, Compensation, Timesheet Entries 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 Keep several Heroku app databases aligned with one system of record
  • 02 Reflect billing and subscription records into the app database so product logic reads local rows
  • 03 Import computed Earnings and deductions into UKG Ready payroll runs from a warehouse or external time-tracking system ahead of each pay period.
  • 04 Create new-hire Employee records in UKG Ready from an ATS or onboarding workflow, including position, cost center, and compensation fields.

Common sync patterns

Reporting and analytics on current data

Employees, Employment / Positions, Compensation, Timesheet Entries replicate into Postgres Heroku where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Ukg Ready 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 Ready where those fields are writable, keeping the people system enriched.

What you can sync between Postgres Heroku 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.

Postgres Heroku objects Ukg Ready objects How this pairing syncs
Views Read-side projections exposed to outbound syncs. 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. Views is specific to Postgres Heroku and Payroll (Earnings / Deductions / Employee Payroll Runs) to Ukg Ready — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets synced outward on refresh. Benefits Plan enrollments, coverage tiers, contributions, and effective dates; typically read into benefits or finance systems. Materialized Views is specific to Postgres Heroku and Benefits 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. Cost Centers / Groups Departments, locations, and hierarchy used as org structure; read to align headcount and budget models across systems. Schemas is specific to Postgres Heroku and Cost Centers / Groups to Ukg Ready — each maps to any object or custom field on the other side.
Primary and Unique Keys Match keys for idempotent upserts from connected systems. Reports (Report-as-a-Service) Scheduled IBM Cognos extracts used for bulk historical pulls that the per-employee REST endpoints are not built for. Primary and Unique Keys is specific to Postgres Heroku and Reports (Report-as-a-Service) to Ukg Ready — each maps to any object or custom field on the other side.
JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Employees Core person records (demographics, contact info, status, work location); synced two-way and mapped to HRIS or person tables in a database. JSONB Columns is specific to Postgres Heroku and Employees to Ukg Ready — each maps to any object or custom field on the other side.
Sequences Generate surrogate keys for rows created by inbound syncs. Employment / Positions Job title, department, employment type, hire and termination dates; read for org modeling and written when roles change. Sequences is specific to Postgres Heroku and Employment / Positions to Ukg Ready — each maps to any object or custom field on the other side.

How changes propagate between Postgres Heroku 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.

Postgres Heroku Ukg Ready 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 Ready through its API, with automatic retries and rate-limit backoff.

Ukg Ready Postgres Heroku 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 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 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 Postgres Heroku ⇄ Ukg Ready

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

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

Real-time

Two-way sync

Changes in Postgres Heroku or Ukg Ready 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 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 Postgres Heroku or Ukg Ready record.

Observability

Monitoring

Track your Postgres Heroku ⇄ 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 Postgres Heroku and Ukg Ready.

How the Postgres Heroku and Ukg Ready 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 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 Postgres Heroku 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.

  1. 01

    Connect your apps

    Authenticate Postgres Heroku 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.

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

    Choose tables

    Pick the Postgres Heroku 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Postgres Heroku ⇄ Ukg Ready
    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 Ready
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Postgres Heroku and Ukg Ready 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 448 integrations available for Postgres Heroku and Ukg Ready.

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