Nutshell → ClickHouse
AI-first ETL from Nutshell into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Nutshell into ClickHouse
Datrise syncs Nutshell's pipeline records, activity history, and conversion-focused sales metrics 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
Nutshell: Sales CRM for teams that need simple reporting and pipeline velocity.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Nutshell entities map to ClickHouse
| Nutshell entity | ClickHouse object | Notes |
|---|---|---|
| pipeline records | nutshell_pipeline_records | id PK · custom fields → JSON or Map columns |
| activity history | nutshell_activity_history | DateTime64 events |
| conversion-focused sales metrics | nutshell_conversion_focused_sales_metrics | id PK · linked to nutshell_pipeline_records |
FAQ
How does Datrise handle Nutshell'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 Nutshell 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.
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