Two-way sync
Changes in Amazon DynamoDB or Ceridian Dayforce instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon DynamoDB 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.
Ceridian Dayforce is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Amazon DynamoDB is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Employee Schedules, Org Units, Departments, Jobs & Positions, Time Away From Work & Balances, Employee (HR / Person Details) in Ceridian Dayforce need to exist as queryable Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams, Global Tables in Amazon DynamoDB 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 Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams, Global Tables in Amazon DynamoDB with Employee Schedules, Org Units, Departments, Jobs & Positions, Time Away From Work & Balances, Employee (HR / Person Details) 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.
Values assembled or corrected in Amazon DynamoDB write onto the matching record in Ceridian Dayforce where those fields are writable, keeping the people system enriched.
Records maintained in Ceridian Dayforce land as queryable Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams, Global Tables in Amazon DynamoDB, so internal apps and dashboards read live data instead of a periodic export.
When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.
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.
| Amazon DynamoDB objects | Ceridian Dayforce objects | How this pairing syncs | |
|---|---|---|---|
| Items Individual schemaless records (attributes up to 400 KB each); read with GetItem, Query, and Scan and written with PutItem or BatchWriteItem, so write is supported here. | 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. | Items is specific to Amazon DynamoDB and Employee Punches & Raw Clock Entries to Ceridian Dayforce — each maps to any object or custom field on the other side. | |
| Global secondary indexes (GSIs) Alternate key projections that let you Query by non-key attributes without a full table Scan; read-only views maintained automatically by DynamoDB. | 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. | Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Employee Schedules to Ceridian Dayforce — each maps to any object or custom field on the other side. | |
| Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. | 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. | Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Org Units, Departments, Jobs & Positions to Ceridian Dayforce — each maps to any object or custom field on the other side. | |
| DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. | 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. | DynamoDB Streams is specific to Amazon DynamoDB and Time Away From Work & Balances to Ceridian Dayforce — each maps to any object or custom field on the other side. | |
| Global Tables Multi-region, active-active replicas of a table kept in sync by DynamoDB; each region is read and written locally with last-writer-wins conflict resolution. | 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. | Global Tables is specific to Amazon DynamoDB and Employee (HR / Person Details) to Ceridian Dayforce — each maps to any object or custom field on the other side. | |
| Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. | 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. | Time to Live (TTL) is specific to Amazon DynamoDB and Employment Status 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.
DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.
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 applied to Amazon DynamoDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–Ceridian Dayforce connection.
Changes in Amazon DynamoDB or Ceridian Dayforce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon DynamoDB 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 Amazon DynamoDB or Ceridian Dayforce record.
Track your Amazon DynamoDB ⇄ Ceridian Dayforce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB 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 Amazon DynamoDB 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 Amazon DynamoDB 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 Amazon DynamoDB and Ceridian Dayforce: authenticate both systems, choose the objects to sync (such as Amazon DynamoDB's Items and Global secondary indexes (GSIs)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Amazon DynamoDB and Ceridian Dayforce: Computed and operational fields flow back; Mirror people records into the database; One directory of record. Values assembled or corrected in Amazon DynamoDB write onto the matching record in Ceridian Dayforce where those fields are writable, keeping the people system enriched.
Amazon DynamoDB: AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture. Authentication: AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level. 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.
Amazon DynamoDB: Data is accessed through the AWS SDK JSON API (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan) and, optionally, PartiQL (ExecuteStatement) for SQL-compatible reads and writes. Ceridian Dayforce: Dayforce is genuinely two-way: POST adds employees, org units, raw clock entries, and schedules; PATCH updates employees, pay adjustments, jobs, positions, and org units; DELETE removes punches. Stacksync's field mapping accounts for these differences between Amazon DynamoDB 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 Amazon DynamoDB 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 Amazon DynamoDB and Ceridian Dayforce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon DynamoDB–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.
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Every pair below is a real-time, two-way sync. Search all 538 integrations available for Amazon DynamoDB and Ceridian Dayforce.