Google Cloud SQL Postgresql → ClickHouse
AI-first ETL from Google Cloud SQL Postgresql into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud SQL Postgresql into ClickHouse
Datrise syncs Google Cloud SQL Postgresql's records, events, and configuration objects into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
Google Cloud SQL Postgresql: SaaS or API data source for analytics and warehouse sync.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Google Cloud SQL Postgresql entities map to ClickHouse
| Google Cloud SQL Postgresql entity | ClickHouse object | Notes |
|---|---|---|
| records | google_cloud_sql_postgresql_records | id PK · custom fields → JSON or Map columns |
| events | google_cloud_sql_postgresql_events | DateTime64 events |
| configuration objects | google_cloud_sql_postgresql_configuration_objects | id PK · linked to google_cloud_sql_postgresql_records |
FAQ
How does Datrise handle Google Cloud SQL Postgresql's custom fields in ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the Google Cloud SQL Postgresql to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
Related pipelines
More destinations for Google Cloud SQL Postgresql
- Google Cloud SQL Postgresql → DuckDB
- Google Cloud SQL Postgresql → Amazon Athena
- Google Cloud SQL Postgresql → Amazon S3 Data Lake
- Google Cloud SQL Postgresql → Azure Data Lake Storage
- Google Cloud SQL Postgresql → Azure Synapse
- Google Cloud SQL Postgresql → Spreadsheets
- Google Cloud SQL Postgresql → Airtable
- Google Cloud SQL Postgresql → CSV Files
- Google Cloud SQL Postgresql → MongoDB
- Google Cloud SQL Postgresql → Supabase
- Google Cloud SQL Postgresql → Neon
- Google Cloud SQL Postgresql → PlanetScale
More sources for ClickHouse
- Google Cloud Storage F → ClickHouse
- Google Directory → ClickHouse
- Google Ecommerce → ClickHouse
- Google Pagespeed Insights → ClickHouse
- Google Webfonts → ClickHouse
- Greenhouse → ClickHouse
- Gridly → ClickHouse
- Gutendex → ClickHouse
- Harness → ClickHouse
- Harvest Forecast → ClickHouse
- Heap → ClickHouse
- Hellobaton → ClickHouse
Early access
Connect Google Cloud SQL Postgresql to ClickHouse 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.