Two-way sync
Changes in Ceridian Dayforce or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Keep Ceridian Dayforce and MotherDuck 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 Ceridian Dayforce is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in MotherDuck next to everything else the company measures.
Stacksync syncs Employee Punches & Raw Clock Entries, Employee Schedules, Org Units, Departments, Jobs & Positions, Time Away From Work & Balances from Ceridian Dayforce into tables in MotherDuck continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in MotherDuck, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Ceridian Dayforce 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 Ceridian Dayforce's workforce records with finance, product, or operational data already in MotherDuck 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 MotherDuck gives you a durable, queryable record of how Ceridian Dayforce'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.
| Ceridian Dayforce objects | MotherDuck objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | Employment Status is specific to Ceridian Dayforce and Databases to MotherDuck — 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. | Schemas Namespaces within a database used to organize synced tables. | Work Assignments is specific to Ceridian Dayforce and Schemas to MotherDuck — each maps to any object or custom field on the other side. | |
| Compensation Summary & Pay Adjustments Compensation Summary returns pay rate and frequency for reporting; Employee Pay Adjustments are written as effective-dated records via PATCH to post pay changes back to Dayforce. | Tables The main landing target for synced records and source for analysis. | Compensation Summary & Pay Adjustments is specific to Ceridian Dayforce and Tables to MotherDuck — each maps to any object or custom field on the other side. | |
| 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. | Views Modeled projections used as outbound sync sources. | Employee Punches & Raw Clock Entries is specific to Ceridian Dayforce and Views to MotherDuck — 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. | Database Shares Read-only copies of a database shared with other users or teams. | Employee Schedules is specific to Ceridian Dayforce and Database Shares to MotherDuck — 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. | Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | Org Units, Departments, Jobs & Positions is specific to Ceridian Dayforce and Attached Local DuckDB Databases to MotherDuck — 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.
DetectionCeridian Dayforce notifies Stacksync of record changes through webhook events. No CDC stream.
DeliveryEach detected change is applied to MotherDuck as a row-level write, with types converted between the two schemas.
DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is written to Ceridian Dayforce through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Ceridian Dayforce–MotherDuck connection.
Changes in Ceridian Dayforce or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Ceridian Dayforce or MotherDuck data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Ceridian Dayforce or MotherDuck record.
Track your Ceridian Dayforce ⇄ MotherDuck sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Ceridian Dayforce and MotherDuck.
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 Ceridian Dayforce and MotherDuck 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 Ceridian Dayforce and MotherDuck 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 Ceridian Dayforce and MotherDuck: authenticate both systems, choose the objects to sync (such as Ceridian Dayforce's Employment Status and Work Assignments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Ceridian Dayforce and MotherDuck. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Ceridian Dayforce: 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. On MotherDuck: Polling; no log-based CDC or webhook surface is exposed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the MotherDuck side: Views, Database Shares, Attached Local DuckDB Databases, Databases, plus custom fields where MotherDuck exposes them. On the Ceridian Dayforce side: Employee Punches & Raw Clock Entries, Employee Schedules, Org Units, Departments, Jobs & Positions, Time Away From Work & Balances. 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 Ceridian Dayforce and MotherDuck: Headcount and cost joined with everything else; Fresh data instead of last night's load; Queryable history for planning and audit. Analysts combine Ceridian Dayforce's workforce records with finance, product, or operational data already in MotherDuck for reporting the HR system cannot produce on its own.
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 449 integrations available for Ceridian Dayforce and MotherDuck.