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Human resources ⇄ Database

Ceridian Dayforce to PostgreSQL integration — real-time, two-way sync

Keep Ceridian Dayforce and PostgreSQL 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 Ceridian Dayforce and PostgreSQL

Put your workforce data where your apps can reach it: PostgreSQL and Ceridian Dayforce share the same people, positions, and org structure in real time.

Ceridian Dayforce is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. PostgreSQL is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Compensation Summary & Pay Adjustments, Employee Punches & Raw Clock Entries, Employee Schedules, Org Units, Departments, Jobs & Positions in Ceridian Dayforce need to exist as queryable Views, Materialized Views, Schemas, Columns in PostgreSQL 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, Materialized Views, Schemas, Columns in PostgreSQL with Compensation Summary & Pay Adjustments, Employee Punches & Raw Clock Entries, Employee Schedules, Org Units, Departments, Jobs & Positions in Ceridian Dayforce field by field, in real time. You decide which system owns which fields — Ceridian Dayforce 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 Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
  • 02 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
  • 03 Two-way sync of Employee and Work Assignment data (position, department, location, org unit) into Postgres so provisioning, internal apps, and analytics read current worker and org data in SQL while HR keeps editing in Dayforce.
  • 04 Push new hires (Employee, Employment Status, Work Assignment) from an ATS or onboarding tool into Dayforce with POST once a candidate is hired, pre-fetching valid XRefCodes for department, position, location, and pay group.

Common sync patterns

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Ceridian Dayforce stay consistent in PostgreSQL, so hierarchy-driven logic and permissions don't drift.

Computed and operational fields flow back

Values assembled or corrected in PostgreSQL write onto the matching record in Ceridian Dayforce where those fields are writable, keeping the people system enriched.

Mirror people records into the database

Records maintained in Ceridian Dayforce land as queryable Views, Materialized Views, Schemas, Columns in PostgreSQL, so internal apps and dashboards read live data instead of a periodic export.

What you can sync between Ceridian Dayforce and PostgreSQL

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.

Ceridian Dayforce objects PostgreSQL objects How this pairing syncs
Employee Punches & Raw Clock Entries Time-and-attendance punches; raw clock entries are added with POST and punches removed with DELETE, so time data flows both ways between Dayforce and scheduling or workforce tools. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Employee Punches & Raw Clock Entries is specific to Ceridian Dayforce and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side.
Employee Schedules Shift and schedule assignments; created and updated through POST and PATCH schedule endpoints and paged with pageSize, used to push schedules from a WFM tool or pull them for analytics. Sequences Generate surrogate keys for rows created by inbound syncs. Employee Schedules is specific to Ceridian Dayforce and Sequences to PostgreSQL — each maps to any object or custom field on the other side.
Org Units, Departments, Jobs & Positions Configuration reference data; POST creates org units and departments and PATCH updates job, position, department, and org-unit data. Used to resolve and validate XRefCodes when mapping employee writes. Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Org Units, Departments, Jobs & Positions is specific to Ceridian Dayforce and Custom Types and Enums to PostgreSQL — each maps to any object or custom field on the other side.
Time Away From Work & Balances Time-off requests and accrual balances read per employee; pulled into scheduling, payroll, or absence-reporting databases and used to reconcile leave against downstream systems. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Time Away From Work & Balances is specific to Ceridian Dayforce and Tables to PostgreSQL — each maps to any object or custom field on the other side.
Employee (HR / Person Details) Core worker record keyed by XRefCode; GET Employees returns matching XRefCodes, then a per-employee GET fetches full HR details. New hires are added with POST and edits made with PATCH, so it is read and write. Views Read-side projections used to expose joined or filtered data to a sync. Employee (HR / Person Details) is specific to Ceridian Dayforce and Views to PostgreSQL — each maps to any object or custom field on the other side.
Employment Status Effective-dated employment status and type (active, leave, terminated) that drives active/terminated state for downstream provisioning; read, and writable as new dated status records. Materialized Views Precomputed result sets synced outward on a refresh schedule. Employment Status is specific to Ceridian Dayforce and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Ceridian Dayforce and PostgreSQL

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.

Ceridian Dayforce PostgreSQL Sub-second propagation

DetectionCeridian Dayforce notifies Stacksync of record changes through webhook events. No CDC stream.

DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL Ceridian Dayforce Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

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

Rate-limit considerations

  • Ceridian Dayforce: Dayforce does not publish numeric rate limits; thresholds vary by tenant and exceeding them returns HTTP 429, so large employee reads are paged (pageSize) and throttled with backoff. Employee list calls return XRefCodes only, so each employee needs a follow-up GET.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Ceridian Dayforce ⇄ PostgreSQL

Connect Ceridian Dayforce and PostgreSQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Ceridian Dayforce–PostgreSQL connection.

Real-time

Two-way sync

Changes in Ceridian Dayforce or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Ceridian Dayforce or PostgreSQL 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 Ceridian Dayforce or PostgreSQL record.

Observability

Monitoring

Track your Ceridian Dayforce ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Ceridian Dayforce and PostgreSQL.

How the Ceridian Dayforce and PostgreSQL connectors work

Ceridian Dayforce

Integration surface
REST API (Dayforce RESTful Web Services, v1/v2), JSON payloads
Authentication
HTTP Basic authentication with a dedicated Web Services user plus the client namespace (Company ID), or an OAuth 2.0 access token from the Dayforce identity endpoint (POST dfid.dayforcehcm.com/connect/token, client_id Dayforce.HCMAnywhere.Client). Token-based auth is recommended, and the Web Services role with the Read Data subfeature must be enabled on the account.
Change detection
No CDC stream. Broad change detection uses delta polling on GET Employees with filterUpdatedStartDate/filterUpdatedEndDate and filterUpdatedEntities to pull only records changed in a window. Dayforce also has native Event Notifications (the Notification Publisher) for lifecycle events — hire, rehire, terminate, and workflow validation — delivered by push to a receiver service or by querying unacknowledged notifications; the publisher runs roughly hourly and each notification must be acknowledged.
Capabilities
read · write · webhooks
Rate limits
Dayforce does not publish numeric rate limits; thresholds vary by tenant and exceeding them returns HTTP 429, so large employee reads are paged (pageSize) and throttled with backoff. Employee list calls return XRefCodes only, so each employee needs a follow-up GET.
Ceridian Dayforce setup guide

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

How to connect Ceridian Dayforce to PostgreSQL — 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 Ceridian Dayforce and PostgreSQL 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
    Ceridian Dayforce connected
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Ceridian Dayforce and PostgreSQL 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 · Ceridian Dayforce ⇄ PostgreSQL
    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
    Ceridian Dayforce PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Ceridian Dayforce and PostgreSQL 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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→ SECURITY WITH BENEFITS

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 545 integrations available for Ceridian Dayforce and PostgreSQL.

Popular · 8 of 545
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