Two-way sync
Changes in AWS S3 or Ceridian Dayforce instantly reflect in both systems. No stale data, no manual imports.
Keep AWS S3 and Ceridian Dayforce 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 AWS S3 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 AWS S3 continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in AWS S3, 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.
People and organization records from Ceridian Dayforce arrive in AWS S3 as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.
Analysts combine Ceridian Dayforce's workforce records with finance, product, or operational data already in AWS S3 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.
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.
| AWS S3 objects | Ceridian Dayforce objects | How this pairing syncs | |
|---|---|---|---|
| Buckets Top-level containers a sync targets; region and policy are set at this level. | 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. | Buckets is specific to AWS S3 and Employee (HR / Person Details) to Ceridian Dayforce — each maps to any object or custom field on the other side. | |
| Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. | 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. | Objects is specific to AWS S3 and Employment Status to Ceridian Dayforce — each maps to any object or custom field on the other side. | |
| Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. | 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. | Prefixes is specific to AWS S3 and Work Assignments to Ceridian Dayforce — each maps to any object or custom field on the other side. | |
| Object Metadata System and user-defined metadata read alongside object contents. | 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. | Object Metadata is specific to AWS S3 and Compensation Summary & Pay Adjustments to Ceridian Dayforce — each maps to any object or custom field on the other side. | |
| Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. | 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. | Object Versions is specific to AWS S3 and Employee Punches & Raw Clock Entries to Ceridian Dayforce — each maps to any object or custom field on the other side. | |
| Event Notifications Notifications on object creation or deletion that trigger incremental processing. | 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. | Event Notifications is specific to AWS S3 and Employee Schedules to Ceridian Dayforce — 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.
DetectionAWS S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge.
DeliveryEach detected change is written to Ceridian Dayforce through its API, with automatic retries and rate-limit backoff.
DetectionCeridian Dayforce notifies Stacksync of record changes through webhook events. No CDC stream.
DeliveryEach detected change is written to AWS S3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Ceridian Dayforce connection.
Changes in AWS S3 or Ceridian Dayforce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS S3 or Ceridian Dayforce data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS S3 or Ceridian Dayforce record.
Track your AWS S3 ⇄ Ceridian Dayforce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS S3 and Ceridian Dayforce.
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 AWS S3 and Ceridian Dayforce 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 AWS S3 and Ceridian Dayforce 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 AWS S3 and Ceridian Dayforce: authenticate both systems, choose the objects to sync (such as AWS S3's Buckets and Objects), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for AWS S3 and Ceridian Dayforce: HR data in the warehouse, minus the pipeline; Headcount and cost joined with everything else; Fresh data instead of last night's load. People and organization records from Ceridian Dayforce arrive in AWS S3 as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.
AWS S3: REST API (the S3 API), accessed directly or through AWS SDKs. Authentication: AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes. 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. Stacksync manages authentication, retries, and rate limits on both sides.
AWS S3: S3 provides strong read-after-write consistency for all operations, so newly written objects are immediately readable by a sync. 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 AWS S3 and Ceridian Dayforce without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means AWS S3 and Ceridian Dayforce records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS S3 and Ceridian Dayforce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS S3–Ceridian Dayforce integration in-house.
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 543 integrations available for AWS S3 and Ceridian Dayforce.