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Data warehouse ⇄ Human resources

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

Keep Apache Druid 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 Druid and Ukg Ready

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

Stacksync syncs Reports (Report-as-a-Service), Employees, Employment / Positions, Compensation from Ukg Ready 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 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 Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.
  • 02 Sync Druid query results into a warehouse to combine real-time aggregates with historical models.
  • 03 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.
  • 04 Import computed Earnings and deductions into UKG Ready payroll runs from a warehouse or external time-tracking system ahead of each pay period.

Common sync patterns

HR data in the warehouse, minus the pipeline

People and organization records from Ukg Ready 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 Ready's workforce records with finance, product, or operational data already in Apache Druid 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.

What you can sync between Apache Druid 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 Druid objects Ukg Ready objects How this pairing syncs
Lookups Key-value mappings joined at query time, refreshable from external systems. 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. Lookups is specific to Apache Druid and Payroll (Earnings / Deductions / Employee Payroll Runs) to Ukg Ready — each maps to any object or custom field on the other side.
Tasks Batch ingestion and compaction jobs monitored during data loads. Benefits Plan enrollments, coverage tiers, contributions, and effective dates; typically read into benefits or finance systems. Tasks is specific to Apache Druid and Benefits to Ukg Ready — 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. Cost Centers / Groups Departments, locations, and hierarchy used as org structure; read to align headcount and budget models across systems. Datasources is specific to Apache Druid and Cost Centers / Groups to Ukg Ready — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Reports (Report-as-a-Service) Scheduled IBM Cognos extracts used for bulk historical pulls that the per-employee REST endpoints are not built for. Segments is specific to Apache Druid and Reports (Report-as-a-Service) to Ukg Ready — 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. Employees Core person records (demographics, contact info, status, work location); synced two-way and mapped to HRIS or person tables in a database. Dimensions is specific to Apache Druid and Employees to Ukg Ready — each maps to any object or custom field on the other side.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Employment / Positions Job title, department, employment type, hire and termination dates; read for org modeling and written when roles change. Metrics is specific to Apache Druid and Employment / Positions to Ukg Ready — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid 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 Druid Ukg Ready 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 Ready through its API, with automatic retries and rate-limit backoff.

Ukg Ready Apache Druid 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 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 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 Druid ⇄ Ukg Ready

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

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

Real-time

Two-way sync

Changes in Apache Druid 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 Druid 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 Druid or Ukg Ready record.

Observability

Monitoring

Track your Apache Druid ⇄ 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 Druid and Ukg Ready.

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

    Choose tables

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

Apache Druid and Ukg Ready integration FAQ

SECURITY

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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 Ready.

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