Google Analytics → PostgreSQL
AI-first ETL from Google Analytics into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics into PostgreSQL
Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts 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: Web and product analytics for behavior and traffic insights.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Google Analytics entities map to PostgreSQL
| Google Analytics entity | PostgreSQL object | Notes |
|---|---|---|
| sessions | google_analytics_sessions | id PK · custom fields → jsonb columns |
| events | google_analytics_events | timestamptz events |
| channels | google_analytics_channels | id PK · linked to google_analytics_sessions |
| conversions | google_analytics_conversions | id PK · linked to google_analytics_sessions |
FAQ
How does Datrise handle Google Analytics'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 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
- Google Analytics → MySQL
- Google Analytics → Microsoft SQL Server
- Google Analytics → Oracle Database
- Google Analytics → Snowflake
- Google Analytics → Google BigQuery
- Google Analytics → Amazon Redshift
- Google Analytics → Databricks SQL Warehouse
- Google Analytics → ClickHouse
- Google Analytics → DuckDB
- Google Analytics → Amazon Athena
- Google Analytics → Amazon S3 Data Lake
- Google Analytics → Azure Data Lake Storage
Early access
Connect Google Analytics 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.