DatriseAI-first ETL

Secoda to PostgreSQL Integration

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

How Datrise loads Secoda into PostgreSQL

Datrise syncs Secoda's tables, columns, dictionaries, lineage edges, owners, and documentation entries into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Secoda: Data catalog, lineage, and documentation.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Secoda entities map to PostgreSQL

Secoda entityPostgreSQL objectNotes
tablessecoda_tablesid PK · custom fields → jsonb 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 PostgreSQL?

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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