DatriseAI-first ETL

Secoda to Birst Integration

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

How Datrise loads Secoda into Birst

Datrise syncs Secoda's tables, columns, dictionaries, lineage edges, owners, and documentation entries into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Secoda: Data catalog, lineage, and documentation.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Secoda entities map to Birst

Secoda entityBirst objectNotes
tablessecoda_tablesid PK · custom fields → flattened 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 Birst?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.

How does the Secoda to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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