Skip to content
Data warehouse ⇄ Human resources

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

Keep Apache Hive 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apache Hive and Ukg Pro

Land the people and organization records from Ukg Pro in Apache Hive 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 Hive next to everything else the company measures.

Stacksync syncs Configuration Setup (Code Tables), Time & Attendance (UTA), Employee (Person Details), Employment Details from Ukg Pro into tables in Apache Hive continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Apache Hive, 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 Bridge a legacy Hadoop warehouse to a cloud warehouse during migration by syncing tables continuously.
  • 02 Extract curated Hive tables into operational databases or SaaS tools so business teams use data locked in Hadoop.
  • 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

Headcount and cost joined with everything else

Analysts combine Ukg Pro's workforce records with finance, product, or operational data already in Apache Hive for reporting the HR system cannot produce on its own.

Fresh data instead of last night's load

Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.

Queryable history for planning and audit

A continuously synced copy in Apache Hive gives you a durable, queryable record of how Ukg Pro's records change over time, for headcount planning and audit questions.

What you can sync between Apache Hive 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 Hive objects Ukg Pro objects How this pairing syncs
Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. Employment Details Employment status, hire and service dates, and company assignment; the record that drives active/terminated state for provisioning downstream. Partitions is specific to Apache Hive and Employment Details to Ukg Pro — each maps to any object or custom field on the other side.
Views Logical views readable as modeled sources. 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 Apache Hive and Job / Position History to Ukg Pro — each maps to any object or custom field on the other side.
Materialized Views Precomputed results available in newer Hive versions for faster reads. 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 Apache Hive and Compensation Details to Ukg Pro — each maps to any object or custom field on the other side.
ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. 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. ACID Tables is specific to Apache Hive and Payroll (Pay Statements, Direct Deposit, Earnings) to Ukg Pro — each maps to any object or custom field on the other side.
Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. Terminations Termination transactions posted with a terminationDate and a reason code that must match the tenant's configured reason table; drives account deprovisioning. Metastore Catalog is specific to Apache Hive and Terminations to Ukg Pro — each maps to any object or custom field on the other side.
Databases Metastore namespaces that scope tables and grants. 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. Databases is specific to Apache Hive 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 Hive 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 Hive Ukg Pro Interval-based propagation

DetectionStacksync polls Apache Hive for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition values or timestamp columns.

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

Ukg Pro Apache Hive Sub-second propagation

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

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

Rate-limit considerations

  • Apache Hive: No API quotas; query latency reflects the batch-oriented execution engine underneath.
  • 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 Hive ⇄ Ukg Pro

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

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

Real-time

Two-way sync

Changes in Apache Hive 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 Hive 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 Hive or Ukg Pro record.

Observability

Monitoring

Track your Apache Hive ⇄ 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 Hive and Ukg Pro.

How the Apache Hive and Ukg Pro connectors work

Apache Hive

Integration surface
SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition values or timestamp columns; no general-purpose change log for external consumers
Capabilities
read · write
Rate limits
No API quotas; query latency reflects the batch-oriented execution engine underneath

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

    Choose tables

    Pick the Apache Hive 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 Hive ⇄ 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 Hive Ukg Pro
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Apache Hive 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.

Learn more about security
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:

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 Hive and Ukg Pro.

Popular · 8 of 440
All Apache Hive integrations All Ukg Pro integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own