DatriseAI-first ETL

Facebook Pages to DuckDB Integration

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

How Datrise loads Facebook Pages into DuckDB

Datrise syncs Facebook Pages's posts, page insights, followers, reactions, comments, and reach metrics into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

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

DuckDB: In-process analytics database for fast local OLAP.

How Facebook Pages entities map to DuckDB

Facebook Pages entityDuckDB objectNotes
postsfacebook_pages_postsid PK · custom fields → JSON or STRUCT columns
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 DuckDB?

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

How does the Facebook Pages to DuckDB sync stay up to date?

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

Connect Facebook Pages to DuckDB the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.