Two-way sync
Changes in Ceridian Dayforce or Greenplum instantly reflect in both systems. No stale data, no manual imports.
Keep Ceridian Dayforce and Greenplum 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 Greenplum next to everything else the company measures.
Stacksync syncs Time Away From Work & Balances, Employee (HR / Person Details), Employment Status, Work Assignments from Ceridian Dayforce into tables in Greenplum continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Greenplum, 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.
A continuously synced copy in Greenplum gives you a durable, queryable record of how Ceridian Dayforce's records change over time, for headcount planning and audit questions.
Segments, rollups, or risk flags computed in Greenplum sync back onto the matching records in Ceridian Dayforce, where the HR team sees them in the system they already use.
People and organization records from Ceridian Dayforce arrive in Greenplum as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.
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 | Greenplum 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. | Schemas Namespace tables and control which objects a sync can see. | Employment Status is specific to Ceridian Dayforce and Schemas to Greenplum — 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. | Tables Heap or append-optimized tables mapped directly to sync targets. | Work Assignments is specific to Ceridian Dayforce and Tables to Greenplum — 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. | Partitions Large tables are commonly partitioned by date, which shapes incremental reads. | Compensation Summary & Pay Adjustments is specific to Ceridian Dayforce and Partitions to Greenplum — 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 Read-only projections used to shape data before syncing it out. | Employee Punches & Raw Clock Entries is specific to Ceridian Dayforce and Views to Greenplum — 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. | External tables Reference external files for bulk load paths alongside row-level syncs. | Employee Schedules is specific to Ceridian Dayforce and External tables to Greenplum — 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. | Rows Read and written by key; distribution keys determine where rows live. | Org Units, Departments, Jobs & Positions is specific to Ceridian Dayforce and Rows to Greenplum — 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 Greenplum as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Greenplum for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key-based cursors.
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–Greenplum connection.
Changes in Ceridian Dayforce or Greenplum instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Ceridian Dayforce or Greenplum 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 Greenplum record.
Track your Ceridian Dayforce ⇄ Greenplum sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Ceridian Dayforce and Greenplum.
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 Greenplum 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 Greenplum 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 Greenplum: 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.
On the Greenplum side: Partitions, Views, External tables, Rows, plus custom fields where Greenplum exposes them. On the Ceridian Dayforce side: Time Away From Work & Balances, Employee (HR / Person Details), Employment Status, Work Assignments. 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 Greenplum: Queryable history for planning and audit; Write-back of computed values; HR data in the warehouse, minus the pipeline. A continuously synced copy in Greenplum gives you a durable, queryable record of how Ceridian Dayforce's records change over time, for headcount planning and audit questions.
Ceridian Dayforce: 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. Greenplum: PostgreSQL wire protocol (libpq), plus JDBC/ODBC drivers. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Greenplum: There is no logical-decoding-based CDC surface, so incremental syncs rely on timestamp or key-based polling. Ceridian Dayforce: Reads are two-step: GET Employees returns only the XRefCodes matching the filter, then a per-employee GET fetches full HR details, so large tenants require many paged requests. Stacksync's field mapping accounts for these differences between Ceridian Dayforce and Greenplum without custom code.
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 438 integrations available for Ceridian Dayforce and Greenplum.