Two-way sync
Changes in Apache Impala or Ukg Pro instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Impala 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.
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 Impala next to everything else the company measures.
Stacksync syncs Compensation Details, Payroll (Pay Statements, Direct Deposit, Earnings), Terminations, Configuration Setup (Code Tables) from Ukg Pro into tables in Apache Impala continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Apache Impala, 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.
Segments, rollups, or risk flags computed in Apache Impala sync back onto the matching records in Ukg Pro, where the HR team sees them in the system they already use.
People and organization records from Ukg Pro arrive in Apache Impala as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.
Analysts combine Ukg Pro's workforce records with finance, product, or operational data already in Apache Impala for reporting the HR system cannot produce on its own.
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 Impala objects | Ukg Pro objects | How this pairing syncs | |
|---|---|---|---|
| External Tables Tables over files loaded by other tools, queryable without data movement. | Employee (Person Details) Core worker record with demographics and identifiers; read by listing employee IDs then fetching each profile, and created on hire via the personnel/onboarding endpoints. | External Tables is specific to Apache Impala and Employee (Person Details) to Ukg Pro — each maps to any object or custom field on the other side. | |
| Users and Roles Principals (often via Ranger/Sentry) used to grant scoped read access. | Employment Details Employment status, hire and service dates, and company assignment; the record that drives active/terminated state for provisioning downstream. | Users and Roles is specific to Apache Impala and Employment Details to Ukg Pro — each maps to any object or custom field on the other side. | |
| Databases Namespaces shared with the Hive Metastore that scope tables. | Job / Position History Effective-dated job, position, department, supervisor, location, and cost center; the most-synced record for org charts, provisioning, and analytics. | Databases is specific to Apache Impala and Job / Position History to Ukg Pro — each maps to any object or custom field on the other side. | |
| Tables HDFS or object-storage backed tables (commonly Parquet) read at interactive speed. | 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. | Tables is specific to Apache Impala and Compensation Details to Ukg Pro — each maps to any object or custom field on the other side. | |
| Partitions Partition values used to limit scans and drive incremental reads. | 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. | Partitions is specific to Apache Impala and Payroll (Pay Statements, Direct Deposit, Earnings) to Ukg Pro — each maps to any object or custom field on the other side. | |
| Views Logical views readable as modeled sources. | Terminations Termination transactions posted with a terminationDate and a reason code that must match the tenant's configured reason table; drives account deprovisioning. | Views is specific to Apache Impala and Terminations to Ukg Pro — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Apache Impala for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns.
DeliveryEach detected change is written to Ukg Pro through its API, with automatic retries and rate-limit backoff.
DetectionUkg Pro notifies Stacksync of record changes through webhook events. No CDC stream.
DeliveryEach detected change is applied to Apache Impala as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Impala–Ukg Pro connection.
Changes in Apache Impala or Ukg Pro instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Impala or Ukg Pro data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Impala or Ukg Pro record.
Track your Apache Impala ⇄ Ukg Pro sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Impala and Ukg Pro.
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.
Authenticate Apache Impala 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.
Pick the Apache Impala 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Apache Impala and Ukg Pro: authenticate both systems, choose the objects to sync (such as Apache Impala's External Tables and Users and Roles), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Apache Impala and Ukg Pro: Write-back of computed values; HR data in the warehouse, minus the pipeline; Headcount and cost joined with everything else. Segments, rollups, or risk flags computed in Apache Impala sync back onto the matching records in Ukg Pro, where the HR team sees them in the system they already use.
Apache Impala: SQL over JDBC/ODBC (HiveServer2-compatible protocol). Authentication: Deployment-dependent: Kerberos, LDAP, or username/password. Ukg Pro: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Apache Impala: Impala runs long-lived daemons that execute queries in parallel without MapReduce, which is what makes it suitable for interactive extraction workloads. Ukg Pro: UKG does not publish numeric rate limits; the gateway throttles per client per rolling window and returns HTTP 429, with a recommended roughly one-second looping backoff before resuming. Stacksync's field mapping accounts for these differences between Apache Impala and Ukg Pro without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Apache Impala and Ukg Pro records are not retained after a sync operation.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
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Every pair below is a real-time, two-way sync. Search all 435 integrations available for Apache Impala and Ukg Pro.