DatriseAI-first ETL

Convex to Metabase Integration

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

How Datrise loads Convex into Metabase

Datrise syncs Convex's documents, tables, functions, indexes, mutations, and queries 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

Convex: Reactive backend with a document database.

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

How Convex entities map to Metabase

Convex entityMetabase objectNotes
documentsconvex_documentsid PK · custom fields → flattened columns for the question builder
tablesconvex_tablesid PK · linked to convex_documents
functionsconvex_functionsid PK · linked to convex_documents
indexesconvex_indexesid PK · linked to convex_documents

FAQ

How does Datrise handle Convex'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 Convex to Metabase sync stay up to date?

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

Related pipelines

Early access

Connect Convex to Metabase the easy way

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