DatriseAI-first ETL

Twitter Ads to Snowflake Integration

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

How Datrise loads Twitter Ads into Snowflake

Datrise syncs Twitter Ads's campaigns, line items, promoted tweets, spend, impressions, and conversions 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

Twitter Ads: Paid campaign delivery and performance on X.

Snowflake: Cloud data warehouse with separated compute and storage.

How Twitter Ads entities map to Snowflake

Twitter Ads entitySnowflake objectNotes
campaignstwitter_ads_campaignsid PK · custom fields → VARIANT columns
line itemstwitter_ads_line_itemsid PK · linked to twitter_ads_campaigns
promoted tweetstwitter_ads_promoted_tweetsid PK · linked to twitter_ads_campaigns
spendtwitter_ads_spendid PK · linked to twitter_ads_campaigns

FAQ

How does Datrise handle Twitter 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 Twitter 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.

Related pipelines

Early access

Connect Twitter Ads to Snowflake the easy way

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