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Database ⇄ Human resources

Google Cloud SQL to Ukg Ready integration — real-time, two-way sync

Keep Google Cloud SQL 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 Google Cloud SQL and Ukg Ready

Put your workforce data where your apps can reach it: Google Cloud SQL and Ukg Ready share the same people, positions, and org structure in real time.

Ukg Ready is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Google Cloud SQL is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Accruals / Time Off, Payroll (Earnings / Deductions / Employee Payroll Runs), Benefits, Cost Centers / Groups in Ukg Ready need to exist as queryable Views, Transaction logs, Instances, Databases in Google Cloud SQL before an app can act on them. When that bridge is a nightly export or a hand-run CSV, every downstream system spends the day working from a roster that has already moved on.

Stacksync syncs Views, Transaction logs, Instances, Databases in Google Cloud SQL with Accruals / Time Off, Payroll (Earnings / Deductions / Employee Payroll Runs), Benefits, Cost Centers / Groups in Ukg Ready field by field, in real time. You decide which system owns which fields — Ukg Ready typically owns identity and org attributes, while operational or computed values can flow back the other way — and Stacksync keeps every copy consistent, matching records on a stable key and resolving conflicts by rules you set.

The result is one live picture of the workforce on both sides: HR keeps its source of truth, and the database keeps a current mirror that internal apps, reports, and access controls can trust without a batch window in between.

Common use cases

  • 01 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 02 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 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

Reporting and analytics on current data

Accruals / Time Off, Payroll (Earnings / Deductions / Employee Payroll Runs), Benefits, Cost Centers / Groups replicate into Google Cloud SQL where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Ukg Ready stay consistent in Google Cloud SQL, so hierarchy-driven logic and permissions don't drift.

Computed and operational fields flow back

Values assembled or corrected in Google Cloud SQL write onto the matching record in Ukg Ready where those fields are writable, keeping the people system enriched.

What you can sync between Google Cloud SQL 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.

Google Cloud SQL objects Ukg Ready objects How this pairing syncs
Schemas Namespace tables in PostgreSQL and SQL Server instances. Timesheet Entries Time-and-attendance punches, hours worked, and breaks; written from external time systems and read into warehouses for labor-cost reporting. Schemas is specific to Google Cloud SQL and Timesheet Entries to Ukg Ready — each maps to any object or custom field on the other side.
Tables Mapped directly to sync targets; schema changes can be propagated. Accruals / Time Off PTO balances, requests, and approver status; read for liability reporting and requests can be created against employee records. Tables is specific to Google Cloud SQL and Accruals / Time Off to Ukg Ready — each maps to any object or custom field on the other side.
Rows Read and written by primary key during each sync cycle. 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. Rows is specific to Google Cloud SQL and Payroll (Earnings / Deductions / Employee Payroll Runs) to Ukg Ready — each maps to any object or custom field on the other side.
Views Read-only sources for shaping data before syncing it out. Benefits Plan enrollments, coverage tiers, contributions, and effective dates; typically read into benefits or finance systems. Views is specific to Google Cloud SQL and Benefits to Ukg Ready — each maps to any object or custom field on the other side.
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Cost Centers / Groups Departments, locations, and hierarchy used as org structure; read to align headcount and budget models across systems. Transaction logs is specific to Google Cloud SQL and Cost Centers / Groups to Ukg Ready — each maps to any object or custom field on the other side.
Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Reports (Report-as-a-Service) Scheduled IBM Cognos extracts used for bulk historical pulls that the per-employee REST endpoints are not built for. Instances is specific to Google Cloud SQL and Reports (Report-as-a-Service) to Ukg Ready — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL 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.

Google Cloud SQL Ukg Ready Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

DeliveryEach detected change is written to Ukg Ready through its API, with automatic retries and rate-limit backoff.

Ukg Ready Google Cloud SQL 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 Google Cloud SQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
  • 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 Google Cloud SQL ⇄ Ukg Ready

Connect Google Cloud SQL and Ukg Ready for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Ukg Ready connection.

Real-time

Two-way sync

Changes in Google Cloud SQL or Ukg Ready instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud SQL 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 Google Cloud SQL or Ukg Ready record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ 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 Google Cloud SQL and Ukg Ready.

How the Google Cloud SQL and Ukg Ready connectors work

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.

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 Google Cloud SQL 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 Google Cloud SQL 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
    Google Cloud SQL connected
    Ukg Ready connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud SQL 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 · Google Cloud SQL ⇄ 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
    Google Cloud SQL Ukg Ready
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud SQL 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 435 integrations available for Google Cloud SQL and Ukg Ready.

Popular · 7 of 435
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