Google Analytics → DuckDB
AI-first ETL from Google Analytics into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics into DuckDB
Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
Google Analytics: Web and product analytics for behavior and traffic insights.
DuckDB: In-process analytics database for fast local OLAP.
How Google Analytics entities map to DuckDB
| Google Analytics entity | DuckDB object | Notes |
|---|---|---|
| sessions | google_analytics_sessions | id PK · custom fields → JSON or STRUCT columns |
| events | google_analytics_events | TIMESTAMP WITH TIME ZONE 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 DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the Google Analytics to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
Related pipelines
More destinations for Google Analytics
- Google Analytics → Amazon Athena
- Google Analytics → Amazon S3 Data Lake
- Google Analytics → Azure Data Lake Storage
- Google Analytics → Azure Synapse
- Google Analytics → Spreadsheets
- Google Analytics → Airtable
- Google Analytics → CSV Files
- Google Analytics → MongoDB
- Google Analytics → Supabase
- Google Analytics → Neon
- Google Analytics → PlanetScale
- Google Analytics → Amazon DynamoDB
Early access
Connect Google Analytics to DuckDB 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.