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Database ⇄ Human resources

AWS Aurora MySQL to Ceridian Dayforce integration — real-time, two-way sync

Keep AWS Aurora MySQL 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora MySQL and Ceridian Dayforce

Put your workforce data where your apps can reach it: AWS Aurora MySQL 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. AWS Aurora MySQL is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Org Units, Departments, Jobs & Positions, Time Away From Work & Balances, Employee (HR / Person Details), Employment Status in Ceridian Dayforce need to exist as queryable Databases (schemas), Tables, Rows, Columns in AWS Aurora MySQL 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 Databases (schemas), Tables, Rows, Columns in AWS Aurora MySQL with Org Units, Departments, Jobs & Positions, Time Away From Work & Balances, Employee (HR / Person Details), Employment Status 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 Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • 02 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • 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

One directory of record

When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.

Reporting and analytics on current data

Org Units, Departments, Jobs & Positions, Time Away From Work & Balances, Employee (HR / Person Details), Employment Status replicate into AWS Aurora MySQL where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

Org and structure stay aligned

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

What you can sync between AWS Aurora MySQL and Ceridian Dayforce

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 Aurora MySQL objects Ceridian Dayforce objects How this pairing syncs
Views Can serve as read-only sync sources for derived or filtered datasets. 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. Views is specific to AWS Aurora MySQL and Org Units, Departments, Jobs & Positions to Ceridian Dayforce — each maps to any object or custom field on the other side.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. 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. Foreign keys is specific to AWS Aurora MySQL and Time Away From Work & Balances to Ceridian Dayforce — each maps to any object or custom field on the other side.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. 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. Stored procedures and triggers is specific to AWS Aurora MySQL and Employee (HR / Person Details) to Ceridian Dayforce — each maps to any object or custom field on the other side.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. 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 (schemas) is specific to AWS Aurora MySQL and Employment Status to Ceridian Dayforce — each maps to any object or custom field on the other side.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. 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 is specific to AWS Aurora MySQL and Work Assignments to Ceridian Dayforce — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. 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. Rows is specific to AWS Aurora MySQL and Compensation Summary & Pay Adjustments to Ceridian Dayforce — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and Ceridian Dayforce

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.

AWS Aurora MySQL Ceridian Dayforce Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

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

Ceridian Dayforce AWS Aurora MySQL Sub-second propagation

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

DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

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 AWS Aurora MySQL ⇄ Ceridian Dayforce

Connect AWS Aurora MySQL and Ceridian Dayforce for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL or Ceridian Dayforce 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 AWS Aurora MySQL or Ceridian Dayforce record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Ceridian Dayforce sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Ceridian Dayforce.

How the AWS Aurora MySQL and Ceridian Dayforce connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

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
How it works

How to connect AWS Aurora MySQL to Ceridian Dayforce — 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 AWS Aurora MySQL 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora MySQL connected
    Ceridian Dayforce connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora MySQL ⇄ Ceridian Dayforce
    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
    AWS Aurora MySQL Ceridian Dayforce
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and Ceridian Dayforce 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.

Learn more about security
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→ 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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 450 integrations available for AWS Aurora MySQL and Ceridian Dayforce.

Popular · 7 of 450
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