Google Cloud SQL to ClickHouse Integration
AI-first ETL from Google Cloud SQL into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud SQL into ClickHouse
Datrise syncs Google Cloud SQL's tables, rows, schemas, indexes, read replicas, and binlog changes 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: Managed MySQL, PostgreSQL, and SQL Server instances on GCP.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Google Cloud SQL entities map to ClickHouse
| Google Cloud SQL entity | ClickHouse object | Notes |
|---|---|---|
| tables | google_cloud_sql_tables | id PK · custom fields → JSON or Map columns |
| rows | google_cloud_sql_rows | id PK · linked to google_cloud_sql_tables |
| schemas | google_cloud_sql_schemas | id PK · linked to google_cloud_sql_tables |
| indexes | google_cloud_sql_indexes | id PK · linked to google_cloud_sql_tables |
FAQ
How does Datrise handle Google Cloud SQL'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 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
- Google Cloud SQL → DuckDB
- Google Cloud SQL → Amazon Athena
- Google Cloud SQL → Amazon S3 Data Lake
- Google Cloud SQL → Azure Data Lake Storage
- Google Cloud SQL → Azure Synapse
- Google Cloud SQL → Spreadsheets
- Google Cloud SQL → Airtable
- Google Cloud SQL → CSV Files
- Google Cloud SQL → MongoDB
- Google Cloud SQL → Supabase
- Google Cloud SQL → Neon
- Google Cloud SQL → PlanetScale
More sources for ClickHouse
- Google Cloud Storage → ClickHouse
- Google Directory → ClickHouse
- Google Ecommerce → ClickHouse
- Google PageSpeed Insights → ClickHouse
- Greenhouse → ClickHouse
- Gridly → ClickHouse
- Harness → ClickHouse
- Harvest Forecast → ClickHouse
- Heap → ClickHouse
- Hellobaton → ClickHouse
- Heroku → ClickHouse
- PostgreSQL → ClickHouse
Early access
Connect Google Cloud SQL to ClickHouse the easy way
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