Real-time
Two-way sync
Changes in Cloudera Data Platform or Workday instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Accounting and finance
Cloudera Data Platform to Workday integration — real-time, two-way sync
Keep Cloudera Data Platform and Workday 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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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Cloudera Data Platform and Workday
Land the financial records from Workday in Cloudera Data Platform continuously, and write results back, without building or maintaining a pipeline.
Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.
Stacksync syncs Compensation, Time Off and Absence, Payroll Results, Suppliers from Workday into tables in Cloudera Data Platform in real time, and the connection works in both directions: values computed in Cloudera Data Platform can be written back to fields in Workday where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.
Common use cases
- 01 Replicate worker, organization, and compensation data into a secured database for people analytics without giving analysts tenant access.
- 02 Push completed payroll results into a finance system or data warehouse each pay cycle.
- 03 Consolidate tables from on-prem and cloud CDP environments into a single cloud warehouse target.
- 04 Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.
Common sync patterns
Revenue joined with everything else
Analysts combine Workday's financial records with product, marketing, or operational data already in Cloudera Data Platform for reporting the finance system cannot do alone.
Write-back of computed fields
Scores or segments computed in Cloudera Data Platform, like payment-risk flags or customer tiers, sync back onto records in Workday where the finance team can act on them.
Queryable history for audit and reconciliation
A continuously synced copy in Cloudera Data Platform gives you a durable, queryable record of financial data for month-end and audit questions.
What you can sync between Cloudera Data Platform and Workday
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.
| Cloudera Data Platform objects | Workday objects | How this pairing syncs | |
|---|---|---|---|
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Custom Reports (RaaS) Tenant-defined reports exposed as web service endpoints, often the practical read surface for syncs. | Partitions is specific to Cloudera Data Platform and Custom Reports (RaaS) to Workday — each maps to any object or custom field on the other side. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Workers The central HCM record covering employment, job, and personal data; the anchor of most syncs. | Object store / HDFS files is specific to Cloudera Data Platform and Workers to Workday — each maps to any object or custom field on the other side. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Organizations Supervisory and company hierarchies read to drive routing and reporting in other systems. | Databases is specific to Cloudera Data Platform and Organizations to Workday — each maps to any object or custom field on the other side. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Positions Job seats synced with recruiting and planning tools. | Hive tables is specific to Cloudera Data Platform and Positions to Workday — each maps to any object or custom field on the other side. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Compensation Pay components read into payroll, planning, and equity systems under strict access control. | Impala tables is specific to Cloudera Data Platform and Compensation to Workday — each maps to any object or custom field on the other side. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Time Off and Absence Balances and requests synced with scheduling and workforce tools. | Kudu tables is specific to Cloudera Data Platform and Time Off and Absence to Workday — each maps to any object or custom field on the other side. |
How changes propagate between Cloudera Data Platform and Workday
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.
Cloudera Data Platform Workday Interval-based propagation
DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.
DeliveryEach detected change is written to Workday through its API, with automatic retries and rate-limit backoff.
Workday Cloudera Data Platform Interval-based propagation
DetectionStacksync polls Workday for changes on an incremental schedule, reading only records changed since the previous pass. Polling, including transaction-log criteria on SOAP operations to fetch objects changed since a given moment.
DeliveryEach detected change is applied to Cloudera Data Platform as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Cloudera Data Platform: Constrained by cluster capacity and admission control rather than API rate limits.
What ships with Cloudera Data Platform ⇄ Workday
Connect Cloudera Data Platform and Workday for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Workday connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Cloudera Data Platform or Workday 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 Cloudera Data Platform or Workday record.
Observability
Monitoring
Track your Cloudera Data Platform ⇄ Workday sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Workday.
How the Cloudera Data Platform and Workday connectors work
Cloudera Data Platform
- Integration surface
- JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs
- Authentication
- Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway
- Change detection
- Polling via SQL on timestamp or partition columns; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Constrained by cluster capacity and admission control rather than API rate limits
Workday
- Integration surface
- SOAP Workday Web Services (WWS), a REST API, and Reports-as-a-Service (RaaS) endpoints for custom reports
- Authentication
- OAuth 2.0 for the REST API; integration system users with WS-Security or certificate-based auth for SOAP
- Change detection
- Polling, including transaction-log criteria on SOAP operations to fetch objects changed since a given moment; no general webhook surface
- Capabilities
- read · write
How it works
How to connect Cloudera Data Platform to Workday — 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 Cloudera Data Platform and Workday with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Cloudera Data Platform
connected
Workday
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Cloudera Data Platform and Workday 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 · Cloudera Data Platform ⇄ WorkdayCustomers 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.
Cloudera Data Platform WorkdayCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Cloudera Data Platform and Workday integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Cloudera Data Platform and Workday: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Partitions and Object store / HDFS files), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and Workday. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. On Workday: Polling, including transaction-log criteria on SOAP operations to fetch objects changed since a given moment; no general webhook surface. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Workday side: Compensation, Time Off and Absence, Payroll Results, Suppliers, plus custom fields where Workday exposes them. On the Cloudera Data Platform side: Kudu tables, Iceberg tables, Views, Partitions. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Cloudera Data Platform and Workday: Revenue joined with everything else; Write-back of computed fields; Queryable history for audit and reconciliation. Analysts combine Workday's financial records with product, marketing, or operational data already in Cloudera Data Platform for reporting the finance system cannot do alone.
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
CSA STAR
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
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