DatriseAI-first ETL

Contentful to Metabase Integration

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

How Datrise loads Contentful into Metabase

Datrise syncs Contentful's entries, content types, assets, spaces, locales, and publish events 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

Contentful: Headless CMS for structured content delivery.

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

How Contentful entities map to Metabase

Contentful entityMetabase objectNotes
entriescontentful_entriesid PK · custom fields → flattened columns for the question builder
content typescontentful_content_typesid PK · linked to contentful_entries
assetscontentful_assetsid PK · linked to contentful_entries
spacescontentful_spacesid PK · linked to contentful_entries

FAQ

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

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

Related pipelines

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