Google Analytics 4 to PostgreSQL Integration
AI-first ETL from Google Analytics 4 into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics 4 into PostgreSQL
Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences 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
Google Analytics 4: Event-based web and app analytics from Google.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Google Analytics 4 entities map to PostgreSQL
| Google Analytics 4 entity | PostgreSQL object | Notes |
|---|---|---|
| events | ga4_events | timestamptz events |
| users | ga4_users | id PK · linked to ga4_events |
| sessions | ga4_sessions | id PK · linked to ga4_events |
| traffic sources | ga4_traffic_sources | id PK · linked to ga4_events |
FAQ
How does Datrise handle Google Analytics 4'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 Google Analytics 4 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 Google Analytics 4
- Google Analytics 4 → MySQL
- Google Analytics 4 → Microsoft SQL Server
- Google Analytics 4 → Oracle Database
- Google Analytics 4 → Snowflake
- Google Analytics 4 → Google BigQuery
- Google Analytics 4 → Amazon Redshift
- Google Analytics 4 → Databricks SQL Warehouse
- Google Analytics 4 → ClickHouse
- Google Analytics 4 → DuckDB
- Google Analytics 4 → Amazon Athena
- Google Analytics 4 → Amazon S3 Data Lake
- Google Analytics 4 → Azure Data Lake Storage
More sources for PostgreSQL
- Gainsight → PostgreSQL
- Genesys → PostgreSQL
- GitHub Webhook → PostgreSQL
- Glassfrog → PostgreSQL
- GNews → PostgreSQL
- GoCardless → PostgreSQL
- Gong → PostgreSQL
- Google Cloud SQL → PostgreSQL
- Google Cloud Storage → PostgreSQL
- Google Directory → PostgreSQL
- Google Ecommerce → PostgreSQL
- Google PageSpeed Insights → PostgreSQL
Early access
Connect Google Analytics 4 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.