Veeva CRM → PostgreSQL
AI-first ETL from Veeva CRM into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Veeva CRM into PostgreSQL
Datrise syncs Veeva CRM's contacts, accounts, deals, activities, and lifecycle events 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
Veeva CRM: Healthcare CRM for accounts, compliance, and field engagement.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Veeva CRM entities map to PostgreSQL
| Veeva CRM entity | PostgreSQL object | Notes |
|---|---|---|
| contacts | veeva_contacts | id PK · custom fields → jsonb columns |
| accounts | veeva_accounts | id PK · linked to veeva_contacts |
| deals | veeva_deals | id PK · linked to veeva_contacts |
| activities | veeva_activities | timestamptz events |
FAQ
How does Datrise handle Veeva CRM'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 Veeva CRM 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 Veeva CRM
- Veeva CRM → MySQL
- Veeva CRM → Microsoft SQL Server
- Veeva CRM → Oracle Database
- Veeva CRM → Snowflake
- Veeva CRM → Google BigQuery
- Veeva CRM → Amazon Redshift
- Veeva CRM → Databricks SQL Warehouse
- Veeva CRM → ClickHouse
- Veeva CRM → DuckDB
- Veeva CRM → Amazon Athena
- Veeva CRM → Amazon S3 Data Lake
- Veeva CRM → Azure Data Lake Storage
More sources for PostgreSQL
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