DatriseAI-first ETL

Facebook Pages to Metabase Integration

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

How Datrise loads Facebook Pages into Metabase

Datrise syncs Facebook Pages's posts, page insights, followers, reactions, comments, and reach metrics 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

Facebook Pages: Organic page presence and audience engagement on Meta.

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

How Facebook Pages entities map to Metabase

Facebook Pages entityMetabase objectNotes
postsfacebook_pages_postsid PK · custom fields → flattened columns for the question builder
page insightsfacebook_pages_page_insightsid PK · linked to facebook_pages_posts
followersfacebook_pages_followersid PK · linked to facebook_pages_posts
reactionsfacebook_pages_reactionsid PK · linked to facebook_pages_posts

FAQ

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

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

Related pipelines

Early access

Connect Facebook Pages to Metabase the easy way

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