Meta Ads → Amazon Redshift
AI-first ETL from Meta Ads into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Meta Ads into Amazon Redshift
Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments 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
Meta Ads: Facebook and Instagram ad source for spend and engagement.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Meta Ads entities map to Amazon Redshift
| Meta Ads entity | Amazon Redshift object | Notes |
|---|---|---|
| campaign spend | meta_ads_campaign_spend | id PK · custom fields → SUPER 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 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 Meta 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.
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Early access
Connect Meta 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.