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Human resources ⇄ Database

Ceridian Dayforce to Neo4j integration — real-time, two-way sync

Keep Ceridian Dayforce and Neo4j 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 Neo4j

Put your workforce data where your apps can reach it: Neo4j 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. Neo4j is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Employee Schedules, Org Units, Departments, Jobs & Positions, Time Away From Work & Balances, Employee (HR / Person Details) in Ceridian Dayforce need to exist as queryable Labels, Indexes & Constraints, Databases, Users & Roles in Neo4j 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 Labels, Indexes & Constraints, Databases, Users & Roles in Neo4j with Employee Schedules, Org Units, Departments, Jobs & Positions, Time Away From Work & Balances, Employee (HR / Person Details) 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 Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
  • 02 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
  • 03 Sync time data by posting raw clock entries from a third-party scheduling tool into Dayforce, or pulling Employee Punches and Schedules into a workforce-analytics database.
  • 04 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.

Common sync patterns

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Ceridian Dayforce stay consistent in Neo4j, so hierarchy-driven logic and permissions don't drift.

Computed and operational fields flow back

Values assembled or corrected in Neo4j 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 Labels, Indexes & Constraints, Databases, Users & Roles in Neo4j, so internal apps and dashboards read live data instead of a periodic export.

What you can sync between Ceridian Dayforce and Neo4j

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 Neo4j objects How this pairing syncs
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. Properties Key-value attributes on both nodes and relationships, mapped from source fields. Employee Schedules is specific to Ceridian Dayforce and Properties to Neo4j — 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. Labels Node type markers used to map source tables or objects onto the graph. Org Units, Departments, Jobs & Positions is specific to Ceridian Dayforce and Labels to Neo4j — 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. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. Time Away From Work & Balances is specific to Ceridian Dayforce and Indexes & Constraints to Neo4j — 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. Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. Employee (HR / Person Details) is specific to Ceridian Dayforce and Databases to Neo4j — 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. Users & Roles Security principals controlling what an integration credential can query or modify. Employment Status is specific to Ceridian Dayforce and Users & Roles to Neo4j — each maps to any object or custom field on the other side.
Work Assignments Effective-dated position, department, location, and org-unit assignment; the most-synced record for org charts, provisioning, and analytics. Read and updatable via PATCH. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. Work Assignments is specific to Ceridian Dayforce and Nodes to Neo4j — each maps to any object or custom field on the other side.

How changes propagate between Ceridian Dayforce and Neo4j

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 Neo4j Sub-second propagation

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

DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.

Neo4j Ceridian Dayforce Sub-second propagation

DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.

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.
What ships with Ceridian Dayforce ⇄ Neo4j

Connect Ceridian Dayforce and Neo4j for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Ceridian Dayforce–Neo4j connection.

Real-time

Two-way sync

Changes in Ceridian Dayforce or Neo4j instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Ceridian Dayforce or Neo4j 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 Neo4j record.

Observability

Monitoring

Track your Ceridian Dayforce ⇄ Neo4j 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 Neo4j.

How the Ceridian Dayforce and Neo4j 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

Neo4j

Integration surface
Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
Authentication
Username/password (basic auth); enterprise deployments add SSO options
Change detection
Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
Capabilities
read · write · CDC
How it works

How to connect Ceridian Dayforce to Neo4j — 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 Neo4j 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
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Ceridian Dayforce and Neo4j 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 ⇄ Neo4j
    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 Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Ceridian Dayforce and Neo4j 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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ISO 27001
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DPF US-EU-UK-CH
→ 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:

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