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Data warehouse ⇄ Human resources

Apache Druid to Ukg Pro integration — real-time, two-way sync

Keep Apache Druid 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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Why teams connect Apache Druid and Ukg Pro

Land the people and organization records from Ukg Pro in Apache Druid as live tables for workforce reporting, without extract jobs, and write computed results back where Ukg Pro 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 Pro is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Apache Druid next to everything else the company measures.

Stacksync syncs Time & Attendance (UTA), Employee (Person Details), Employment Details, Job / Position History from Ukg Pro into tables in Apache Druid continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Apache Druid, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Ukg Pro 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 Expose product telemetry stored in Druid to business tools without granting direct cluster access.
  • 02 Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.
  • 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

Write-back of computed values

Segments, rollups, or risk flags computed in Apache Druid sync back onto the matching records in Ukg Pro, 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 Pro arrive in Apache Druid 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 Pro's workforce records with finance, product, or operational data already in Apache Druid for reporting the HR system cannot produce on its own.

What you can sync between Apache Druid 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.

Apache Druid objects Ukg Pro objects How this pairing syncs
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Employment Details Employment status, hire and service dates, and company assignment; the record that drives active/terminated state for provisioning downstream. Ingestion Supervisors is specific to Apache Druid and Employment Details to Ukg Pro — each maps to any object or custom field on the other side.
Lookups Key-value mappings joined at query time, refreshable from external systems. Job / Position History Effective-dated job, position, department, supervisor, location, and cost center; the most-synced record for org charts, provisioning, and analytics. Lookups is specific to Apache Druid and Job / Position History to Ukg Pro — each maps to any object or custom field on the other side.
Tasks Batch ingestion and compaction jobs monitored during data loads. 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. Tasks is specific to Apache Druid and Compensation Details to Ukg Pro — each maps to any object or custom field on the other side.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. 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. Datasources is specific to Apache Druid and Payroll (Pay Statements, Direct Deposit, Earnings) to Ukg Pro — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Terminations Termination transactions posted with a terminationDate and a reason code that must match the tenant's configured reason table; drives account deprovisioning. Segments is specific to Apache Druid and Terminations to Ukg Pro — each maps to any object or custom field on the other side.
Dimensions String and categorical columns used for filtering and grouping in synced queries. 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. Dimensions is specific to Apache Druid and Configuration Setup (Code Tables) to Ukg Pro — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid 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.

Apache Druid Ukg Pro Interval-based propagation

DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.

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

Ukg Pro Apache Druid Sub-second propagation

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

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

Rate-limit considerations

  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
  • 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 Apache Druid ⇄ Ukg Pro

Connect Apache Druid and Ukg Pro for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Ukg Pro record.

Observability

Monitoring

Track your Apache Druid ⇄ 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 Apache Druid and Ukg Pro.

How the Apache Druid and Ukg Pro connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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 Apache Druid 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 Apache Druid 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
    Apache Druid connected
    Ukg Pro connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Apache Druid 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

Every pair below is a real-time, two-way sync. Search all 440 integrations available for Apache Druid and Ukg Pro.

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