Recreation Gov → PostgreSQL
AI-first ETL from Recreation Gov into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Recreation Gov into PostgreSQL
Datrise syncs Recreation Gov'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
Recreation Gov: SaaS or API data source for analytics and warehouse sync.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Recreation Gov entities map to PostgreSQL
| Recreation Gov entity | PostgreSQL object | Notes |
|---|---|---|
| records | recreation_gov_records | id PK · custom fields → jsonb columns |
| events | recreation_gov_events | timestamptz events |
| configuration objects | recreation_gov_configuration_objects | id PK · linked to recreation_gov_records |
FAQ
How does Datrise handle Recreation Gov'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 Recreation Gov 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 Recreation Gov
- Recreation Gov → MySQL
- Recreation Gov → Microsoft SQL Server
- Recreation Gov → Oracle Database
- Recreation Gov → Snowflake
- Recreation Gov → Google BigQuery
- Recreation Gov → Amazon Redshift
- Recreation Gov → Databricks SQL Warehouse
- Recreation Gov → ClickHouse
- Recreation Gov → DuckDB
- Recreation Gov → Amazon Athena
- Recreation Gov → Amazon S3 Data Lake
- Recreation Gov → Azure Data Lake Storage
Early access
Connect Recreation Gov to PostgreSQL the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.