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Data warehouse ⇄ Human resources

AWS S3 to Ukg Ready integration — real-time, two-way sync

Keep AWS S3 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS S3 and Ukg Ready

Land the people and organization records from Ukg Ready in AWS S3 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 AWS S3 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 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 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 Export synced operational data to S3 as files feeding a data lake or downstream batch jobs.
  • 02 Trigger incremental sync runs from S3 event notifications when new files land in a prefix.
  • 03 Feed Timesheet Entries and Accruals/Time Off into a data warehouse for labor-cost, overtime, and PTO-liability reporting.
  • 04 Mirror Cost Centers/Groups and Compensation into finance and planning systems for headcount and budget reconciliation.

Common sync patterns

Write-back of computed values

Segments, rollups, or risk flags computed in AWS S3 sync back onto the matching records in Ukg Ready, where the HR team sees them in the system they already use.

HR data in the warehouse, minus the pipeline

People and organization records from Ukg Ready arrive in AWS S3 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 AWS S3 for reporting the HR system cannot produce on its own.

What you can sync between AWS S3 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.

AWS S3 objects Ukg Ready objects How this pairing syncs
Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. Accruals / Time Off PTO balances, requests, and approver status; read for liability reporting and requests can be created against employee records. Objects is specific to AWS S3 and Accruals / Time Off to Ukg Ready — 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. 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. Prefixes is specific to AWS S3 and Payroll (Earnings / Deductions / Employee Payroll Runs) to Ukg Ready — each maps to any object or custom field on the other side.
Object Metadata System and user-defined metadata read alongside object contents. Benefits Plan enrollments, coverage tiers, contributions, and effective dates; typically read into benefits or finance systems. Object Metadata is specific to AWS S3 and Benefits to Ukg Ready — each maps to any object or custom field on the other side.
Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. Cost Centers / Groups Departments, locations, and hierarchy used as org structure; read to align headcount and budget models across systems. Object Versions is specific to AWS S3 and Cost Centers / Groups to Ukg Ready — each maps to any object or custom field on the other side.
Event Notifications Notifications on object creation or deletion that trigger incremental processing. Reports (Report-as-a-Service) Scheduled IBM Cognos extracts used for bulk historical pulls that the per-employee REST endpoints are not built for. Event Notifications is specific to AWS S3 and Reports (Report-as-a-Service) to Ukg Ready — each maps to any object or custom field on the other side.
Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. Employees Core person records (demographics, contact info, status, work location); synced two-way and mapped to HRIS or person tables in a database. Access Points is specific to AWS S3 and Employees to Ukg Ready — each maps to any object or custom field on the other side.

How changes propagate between AWS S3 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.

AWS S3 Ukg Ready Sub-second propagation

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

Ukg Ready AWS S3 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 written to AWS S3 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • AWS S3: Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes.
  • 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 AWS S3 ⇄ Ukg Ready

Connect AWS S3 and Ukg Ready for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Ukg Ready connection.

Real-time

Two-way sync

Changes in AWS S3 or Ukg Ready instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS S3 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 AWS S3 or Ukg Ready record.

Observability

Monitoring

Track your AWS S3 ⇄ 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 AWS S3 and Ukg Ready.

How the AWS S3 and Ukg Ready connectors work

AWS S3

Integration surface
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
Change detection
S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes

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 AWS S3 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 AWS S3 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
    AWS S3 connected
    Ukg Ready connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS S3 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 · AWS S3 ⇄ 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
    AWS S3 Ukg Ready
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS S3 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 543 integrations available for AWS S3 and Ukg Ready.

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