Meta Ads → DuckDB
AI-first ETL from Meta Ads into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Meta Ads into DuckDB
Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments 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
Meta Ads: Facebook and Instagram ad source for spend and engagement.
DuckDB: In-process analytics database for fast local OLAP.
How Meta Ads entities map to DuckDB
| Meta Ads entity | DuckDB object | Notes |
|---|---|---|
| campaign spend | meta_ads_campaign_spend | id PK · custom fields → JSON or STRUCT columns |
| impressions | meta_ads_impressions | id PK · linked to meta_ads_campaign_spend |
| clicks | meta_ads_clicks | id PK · linked to meta_ads_campaign_spend |
| conversions | meta_ads_conversions | id PK · linked to meta_ads_campaign_spend |
FAQ
How does Datrise handle Meta Ads'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 Meta Ads 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
More destinations for Meta Ads
Early access
Connect Meta Ads to DuckDB the easy way
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