Workday Raas → PostgreSQL
AI-first ETL from Workday Raas into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Workday Raas into PostgreSQL
Datrise syncs Workday Raas's records, events, and configuration objects into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Workday Raas: SaaS or API data source for analytics and warehouse sync.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Workday Raas entities map to PostgreSQL
| Workday Raas entity | PostgreSQL object | Notes |
|---|---|---|
| records | workday_raas_records | id PK · custom fields → jsonb columns |
| events | workday_raas_events | timestamptz events |
| configuration objects | workday_raas_configuration_objects | id PK · linked to workday_raas_records |
FAQ
How does Datrise handle Workday Raas's custom fields in PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the Workday Raas to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Workday Raas
- Workday Raas → MySQL
- Workday Raas → Microsoft SQL Server
- Workday Raas → Oracle Database
- Workday Raas → Snowflake
- Workday Raas → Google BigQuery
- Workday Raas → Amazon Redshift
- Workday Raas → Databricks SQL Warehouse
- Workday Raas → ClickHouse
- Workday Raas → DuckDB
- Workday Raas → Amazon Athena
- Workday Raas → Amazon S3 Data Lake
- Workday Raas → Azure Data Lake Storage
More sources for PostgreSQL
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