Two-way sync
Changes in AWS S3 or Ukg Pro instantly reflect in both systems. No stale data, no manual imports.
Keep AWS S3 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 AWS S3 next to everything else the company measures.
Stacksync syncs Job / Position History, Compensation Details, Payroll (Pay Statements, Direct Deposit, Earnings), Terminations from Ukg Pro into tables in AWS S3 continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in AWS S3, 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.
Analysts combine Ukg Pro's workforce records with finance, product, or operational data already in AWS S3 for reporting the HR system cannot produce on its own.
Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
A continuously synced copy in AWS S3 gives you a durable, queryable record of how Ukg Pro's records change over time, for headcount planning and audit questions.
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.
| AWS S3 objects | Ukg Pro objects | How this pairing syncs | |
|---|---|---|---|
| Buckets Top-level containers a sync targets; region and policy are set at this level. | 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. | Buckets is specific to AWS S3 and Employee (Person Details) to Ukg Pro — each maps to any object or custom field on the other side. | |
| Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. | Employment Details Employment status, hire and service dates, and company assignment; the record that drives active/terminated state for provisioning downstream. | Objects is specific to AWS S3 and Employment Details to Ukg Pro — each maps to any object or custom field on the other side. | |
| Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. | Job / Position History Effective-dated job, position, department, supervisor, location, and cost center; the most-synced record for org charts, provisioning, and analytics. | Prefixes is specific to AWS S3 and Job / Position History to Ukg Pro — each maps to any object or custom field on the other side. | |
| Object Metadata System and user-defined metadata read alongside object contents. | 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. | Object Metadata is specific to AWS S3 and Compensation Details to Ukg Pro — each maps to any object or custom field on the other side. | |
| Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. | 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. | Object Versions is specific to AWS S3 and Payroll (Pay Statements, Direct Deposit, Earnings) to Ukg Pro — each maps to any object or custom field on the other side. | |
| Event Notifications Notifications on object creation or deletion that trigger incremental processing. | Terminations Termination transactions posted with a terminationDate and a reason code that must match the tenant's configured reason table; drives account deprovisioning. | Event Notifications is specific to AWS S3 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.
DetectionAWS S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge.
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 written to AWS S3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Ukg Pro connection.
Changes in AWS S3 or Ukg Pro instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS S3 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 AWS S3 or Ukg Pro record.
Track your AWS S3 ⇄ Ukg Pro sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS S3 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 AWS S3 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 AWS S3 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 AWS S3 and Ukg Pro: authenticate both systems, choose the objects to sync (such as AWS S3's Buckets and Objects), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on AWS S3: S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback. On Ukg Pro: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the AWS S3 side: Event Notifications, Access Points, Multipart Uploads, Buckets, plus custom fields where AWS S3 exposes them. On the Ukg Pro side: Job / Position History, Compensation Details, Payroll (Pay Statements, Direct Deposit, Earnings), Terminations. Stacksync auto-detects both schemas and converts types between the two systems.
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 AWS S3 and Ukg Pro: Headcount and cost joined with everything else; Fresh data instead of last night's load; Queryable history for planning and audit. Analysts combine Ukg Pro's workforce records with finance, product, or operational data already in AWS S3 for reporting the HR system cannot produce on its own.
AWS S3: REST API (the S3 API), accessed directly or through AWS SDKs. Authentication: AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes. 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.
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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 543 integrations available for AWS S3 and Ukg Pro.