DatriseAI-first ETL

Twitter Ads to Amazon Redshift Integration

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

How Datrise loads Twitter Ads into Amazon Redshift

Datrise syncs Twitter Ads's campaigns, line items, promoted tweets, spend, impressions, and conversions into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

Twitter Ads: Paid campaign delivery and performance on X.

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How Twitter Ads entities map to Amazon Redshift

Twitter Ads entityAmazon Redshift objectNotes
campaignstwitter_ads_campaignsid PK · custom fields → SUPER 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 Amazon Redshift?

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

How does the Twitter Ads to Amazon Redshift sync stay up to date?

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

Early access

Connect Twitter Ads to Amazon Redshift 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.