Real-time
Two-way sync
Changes in Ceridian Dayforce or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Database
Ceridian Dayforce to Postgres Heroku integration — real-time, two-way sync
Keep Ceridian Dayforce and Postgres Heroku in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Ceridian Dayforce and Postgres Heroku
Put your workforce data where your apps can reach it: Postgres Heroku 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. Postgres Heroku is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Time Away From Work & Balances, Employee (HR / Person Details), Employment Status, Work Assignments in Ceridian Dayforce need to exist as queryable JSONB Columns, Sequences, Follower Databases, Tables in Postgres Heroku 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 JSONB Columns, Sequences, Follower Databases, Tables in Postgres Heroku with Time Away From Work & Balances, Employee (HR / Person Details), Employment Status, Work Assignments 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 Keep several Heroku app databases aligned with one system of record
- 02 Reflect billing and subscription records into the app database so product logic reads local rows
- 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
Mirror people records into the database
Records maintained in Ceridian Dayforce land as queryable JSONB Columns, Sequences, Follower Databases, Tables in Postgres Heroku, so internal apps and dashboards read live data instead of a periodic export.
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
Time Away From Work & Balances, Employee (HR / Person Details), Employment Status, Work Assignments replicate into Postgres Heroku where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
What you can sync between Ceridian Dayforce and Postgres Heroku
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 | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Sequences Generate surrogate keys for rows created by inbound syncs. | Employee Schedules is specific to Ceridian Dayforce and Sequences to Postgres Heroku — 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. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Org Units, Departments, Jobs & Positions is specific to Ceridian Dayforce and Follower Databases to Postgres Heroku — 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. | Tables Standard Postgres tables; the primary two-way sync target for app data. | Time Away From Work & Balances is specific to Ceridian Dayforce and Tables to Postgres Heroku — each maps to any object or custom field on the other side. | |
| 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. | Views Read-side projections exposed to outbound syncs. | Employee (HR / Person Details) is specific to Ceridian Dayforce and Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| 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. | Materialized Views Precomputed result sets synced outward on refresh. | Employment Status is specific to Ceridian Dayforce and Materialized Views to Postgres Heroku — 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 that scope which tables a sync reads and writes. | Work Assignments is specific to Ceridian Dayforce and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Ceridian Dayforce and Postgres Heroku
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 Postgres Heroku Sub-second propagation
DetectionCeridian Dayforce notifies Stacksync of record changes through webhook events. No CDC stream.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Ceridian Dayforce Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
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.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Ceridian Dayforce ⇄ Postgres Heroku
Connect Ceridian Dayforce and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Ceridian Dayforce–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Ceridian Dayforce or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Ceridian Dayforce ⇄ Postgres Heroku 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 Postgres Heroku.
How the Ceridian Dayforce and Postgres Heroku 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.
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Ceridian Dayforce to Postgres Heroku — 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 Postgres Heroku 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
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Ceridian Dayforce and Postgres Heroku 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 ⇄ Postgres HerokuCustomers 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 Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Ceridian Dayforce and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Ceridian Dayforce and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Ceridian Dayforce's Employee Schedules and Org Units, Departments, Jobs & Positions), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
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. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
-
Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Ceridian Dayforce: Auth is HTTP Basic (Web Services user plus client namespace) or an OAuth 2.0 token from dfid.dayforcehcm.com/connect/token; Dayforce does not publish numeric rate limits and returns HTTP 429 when a tenant's throttle is exceeded. Stacksync's field mapping accounts for these differences between Ceridian Dayforce and Postgres Heroku 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 Ceridian Dayforce and Postgres Heroku records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Ceridian Dayforce and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Ceridian Dayforce–Postgres Heroku integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Ceridian Dayforce and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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
Every pair below is a real-time, two-way sync. Search all 448 integrations available for Ceridian Dayforce and Postgres Heroku.
Popular · 8 of 448
-
Ceridian Dayforce ⇄ Scaleway Postgres -
Ceridian Dayforce ⇄ TiDB -
Ceridian Dayforce ⇄ TimescaleDB -
Ceridian Dayforce ⇄ VoltDB -
Postgres Heroku ⇄ Smartrecruiters -
Postgres Heroku ⇄ Ukg Pro -
Postgres Heroku ⇄ Greenhouse -
Postgres Heroku ⇄ Jobvite
No integrations match .
