Typeform → ClickHouse
AI-first ETL from Typeform into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Typeform into ClickHouse
Datrise syncs Typeform's forms, responses, questions, workspaces, and completion 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
Typeform: Conversational forms and response analytics.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Typeform entities map to ClickHouse
| Typeform entity | ClickHouse object | Notes |
|---|---|---|
| forms | typeform_forms | id PK · custom fields → JSON or Map columns |
| responses | typeform_responses | id PK · linked to typeform_forms |
| questions | typeform_questions | id PK · linked to typeform_forms |
| workspaces | typeform_workspaces | id PK · linked to typeform_forms |
FAQ
How does Datrise handle Typeform'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 Typeform 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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