Real-time
Two-way sync
Changes in Ceridian Dayforce or Dremio instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Data warehouse
Ceridian Dayforce to Dremio integration — real-time, two-way sync
Keep Ceridian Dayforce and Dremio 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 Dremio
Land the people and organization records from Ceridian Dayforce in Dremio as live tables for workforce reporting, without extract jobs, and write computed results back where Ceridian Dayforce 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 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 Dremio next to everything else the company measures.
Stacksync syncs Employment Status, Work Assignments, Compensation Summary & Pay Adjustments, Employee Punches & Raw Clock Entries from Ceridian Dayforce into tables in Dremio continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Dremio, 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.
Common use cases
- 01 Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
- 02 Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
- 03 Replicate Compensation Summary and pay data into a warehouse for headcount, labor-cost, and compensation reporting without manual BI exports.
- 04 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.
Common sync patterns
Write-back of computed values
Segments, rollups, or risk flags computed in Dremio sync back onto the matching records in Ceridian Dayforce, 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 Ceridian Dayforce arrive in Dremio 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 Ceridian Dayforce's workforce records with finance, product, or operational data already in Dremio for reporting the HR system cannot produce on its own.
What you can sync between Ceridian Dayforce and Dremio
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 | Dremio objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Work Assignments is specific to Ceridian Dayforce and Physical datasets to Dremio — 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. | Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Compensation Summary & Pay Adjustments is specific to Ceridian Dayforce and Virtual datasets (views) to Dremio — 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. | Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Employee Punches & Raw Clock Entries is specific to Ceridian Dayforce and Apache Iceberg tables to Dremio — 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. | Spaces and folders Namespaces that organize virtual datasets and govern access. | Employee Schedules is specific to Ceridian Dayforce and Spaces and folders to Dremio — 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. | Reflections Materialized accelerations that make repeated extraction queries cheaper. | Org Units, Departments, Jobs & Positions is specific to Ceridian Dayforce and Reflections to Dremio — 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. | Jobs Query execution records useful for monitoring sync workloads. | Time Away From Work & Balances is specific to Ceridian Dayforce and Jobs to Dremio — each maps to any object or custom field on the other side. |
How changes propagate between Ceridian Dayforce and Dremio
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 Dremio Sub-second propagation
DetectionCeridian Dayforce notifies Stacksync of record changes through webhook events. No CDC stream.
DeliveryEach detected change is applied to Dremio as a row-level write, with types converted between the two schemas.
Dremio Ceridian Dayforce Interval-based propagation
DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
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.
- Dremio: Bounded by engine capacity and workload management rather than API rate limits.
What ships with Ceridian Dayforce ⇄ Dremio
Connect Ceridian Dayforce and Dremio for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Ceridian Dayforce–Dremio connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Ceridian Dayforce or Dremio 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 Dremio record.
Observability
Monitoring
Track your Ceridian Dayforce ⇄ Dremio 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 Dremio.
How the Ceridian Dayforce and Dremio 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.
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
How it works
How to connect Ceridian Dayforce to Dremio — 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.
- 01
Connect your apps
Authenticate Ceridian Dayforce and Dremio with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Ceridian Dayforce
connected
Dremio
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Ceridian Dayforce and Dremio 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.
objects · Ceridian Dayforce ⇄ DremioCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Ceridian Dayforce DremioCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Ceridian Dayforce and Dremio integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Ceridian Dayforce and Dremio: authenticate both systems, choose the objects to sync (such as Ceridian Dayforce's Work Assignments and Compensation Summary & Pay Adjustments), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Ceridian Dayforce and Dremio. 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 Dremio: Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Dremio side: Reflections, Jobs, Sources, Physical datasets, plus custom fields where Dremio exposes them. On the Ceridian Dayforce side: Employment Status, Work Assignments, Compensation Summary & Pay Adjustments, Employee Punches & Raw Clock Entries. 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 Dremio: Write-back of computed values; HR data in the warehouse, minus the pipeline; Headcount and cost joined with everything else. Segments, rollups, or risk flags computed in Dremio sync back onto the matching records in Ceridian Dayforce, where the HR team sees them in the system they already use.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:
Related integrations
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