DatriseAI-first ETL

Secoda to ClickHouse Integration

AI-first ETL from Secoda into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Secoda into ClickHouse

Datrise syncs Secoda's tables, columns, dictionaries, lineage edges, owners, and documentation entries 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

Secoda: Data catalog, lineage, and documentation.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Secoda entities map to ClickHouse

Secoda entityClickHouse objectNotes
tablessecoda_tablesid PK · custom fields → JSON or Map columns
columnssecoda_columnsid PK · linked to secoda_tables
dictionariessecoda_dictionariesid PK · linked to secoda_tables
lineage edgessecoda_lineage_edgesid PK · linked to secoda_tables

FAQ

How does Datrise handle Secoda'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 Secoda 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

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