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Data warehouse ⇄ Human resources

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

Keep Apache Hive 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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Why teams connect Apache Hive and Ukg Ready

Land the people and organization records from Ukg Ready in Apache Hive as live tables for workforce reporting, without extract jobs, and write computed results back where Ukg Ready 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 Ready 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 Timesheet Entries, Accruals / Time Off, Payroll (Earnings / Deductions / Employee Payroll Runs), Benefits from Ukg Ready 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 Ready 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 Mirror Cost Centers/Groups and Compensation into finance and planning systems for headcount and budget reconciliation.
  • 04 Two-way sync Employees and Employment/Position records with an operational Postgres database so internal apps and IT provisioning read job title, department, and status in SQL while HR edits in UKG Ready.

Common sync patterns

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 Ready's records change over time, for headcount planning and audit questions.

Write-back of computed values

Segments, rollups, or risk flags computed in Apache Hive sync back onto the matching records in Ukg Ready, where the HR team sees them in the system they already use.

What you can sync between Apache Hive 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.

Apache Hive objects Ukg Ready objects How this pairing syncs
ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Reports (Report-as-a-Service) Scheduled IBM Cognos extracts used for bulk historical pulls that the per-employee REST endpoints are not built for. ACID Tables is specific to Apache Hive and Reports (Report-as-a-Service) to Ukg Ready — each maps to any object or custom field on the other side.
Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. Employees Core person records (demographics, contact info, status, work location); synced two-way and mapped to HRIS or person tables in a database. Metastore Catalog is specific to Apache Hive and Employees to Ukg Ready — each maps to any object or custom field on the other side.
Databases Metastore namespaces that scope tables and grants. Employment / Positions Job title, department, employment type, hire and termination dates; read for org modeling and written when roles change. Databases is specific to Apache Hive and Employment / Positions to Ukg Ready — each maps to any object or custom field on the other side.
Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. Compensation Salary or hourly rate, pay frequency, and FLSA status; often mastered elsewhere and written onto the employee record, or read into finance. Managed Tables is specific to Apache Hive and Compensation to Ukg Ready — each maps to any object or custom field on the other side.
External Tables Tables over existing files in HDFS or object storage, read without moving data. Timesheet Entries Time-and-attendance punches, hours worked, and breaks; written from external time systems and read into warehouses for labor-cost reporting. External Tables is specific to Apache Hive and Timesheet Entries to Ukg Ready — each maps to any object or custom field on the other side.
Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. Accruals / Time Off PTO balances, requests, and approver status; read for liability reporting and requests can be created against employee records. Partitions is specific to Apache Hive and Accruals / Time Off to Ukg Ready — each maps to any object or custom field on the other side.

How changes propagate between Apache Hive 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.

Apache Hive Ukg Ready 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 Ready through its API, with automatic retries and rate-limit backoff.

Ukg Ready Apache Hive 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 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 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 Apache Hive ⇄ Ukg Ready

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

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

Real-time

Two-way sync

Changes in Apache Hive or Ukg Ready 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 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 Apache Hive or Ukg Ready record.

Observability

Monitoring

Track your Apache Hive ⇄ 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 Apache Hive and Ukg Ready.

How the Apache Hive and Ukg Ready 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 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 Apache Hive 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 Apache Hive 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
    Apache Hive connected
    Ukg Ready connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Apache Hive 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 440 integrations available for Apache Hive and Ukg Ready.

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