DatriseAI-first ETL

Codat to Metabase Integration

AI-first ETL from Codat into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Codat into Metabase

Datrise syncs Codat's companies, accounts, invoices, bills, journal entries, and payments into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Codat: Unified API for accounting and banking data.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Codat entities map to Metabase

Codat entityMetabase objectNotes
companiescodat_companiesid PK · custom fields → flattened columns for the question builder
accountscodat_accountsid PK · linked to codat_companies
invoicescodat_invoicesid PK · linked to codat_companies
billscodat_billsid PK · linked to codat_companies

FAQ

How does Datrise handle Codat's custom fields in Metabase?

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

How does the Codat to Metabase sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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