Fauna to ClickHouse Integration
AI-first ETL from Fauna into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Fauna into ClickHouse
Datrise syncs Fauna's collections, documents, indexes, functions, database schemas, and document history 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
Fauna: Distributed document-relational database.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Fauna entities map to ClickHouse
| Fauna entity | ClickHouse object | Notes |
|---|---|---|
| collections | fauna_collections | id PK · custom fields → JSON or Map columns |
| documents | fauna_documents | id PK · linked to fauna_collections |
| indexes | fauna_indexes | id PK · linked to fauna_collections |
| functions | fauna_functions | id PK · linked to fauna_collections |
FAQ
How does Datrise handle Fauna'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 Fauna 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 Fauna
More sources for ClickHouse
Early access
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