DatriseAI-first ETL

Facebook Ads Snowflake

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

How Datrise loads Facebook Ads into Snowflake

Datrise syncs Facebook Ads's campaigns, ad sets, ads, spend, and conversion metrics into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.

Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.

Ideal for central analytics warehouses feeding BI and AI workloads.

Endpoints

Facebook Ads: Meta paid social campaigns and performance insights.

Snowflake: Cloud data warehouse with separated compute and storage.

How Facebook Ads entities map to Snowflake

Facebook Ads entitySnowflake objectNotes
campaignsfacebook_ads_campaignsid PK · custom fields → VARIANT columns
ad setsfacebook_ads_ad_setsid PK · linked to facebook_ads_campaigns
adsfacebook_ads_adsid PK · linked to facebook_ads_campaigns
spendfacebook_ads_spendid PK · linked to facebook_ads_campaigns

FAQ

How does Datrise handle Facebook Ads's custom fields in Snowflake?

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

How does the Facebook Ads to Snowflake sync stay up to date?

It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.

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Early access

Connect Facebook Ads to Snowflake 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.