DatriseAI-first ETL

Snapchat Ads to Apache Superset Integration

AI-first ETL from Snapchat Ads into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads Snapchat Ads into Apache Superset

Datrise syncs Snapchat Ads's campaigns, ad squads, ads, creatives, spend, and conversion metrics into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Snapchat Ads: Paid campaigns across Snapchat placements.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Snapchat Ads entities map to Apache Superset

Snapchat Ads entityApache Superset objectNotes
campaignssnapchat_ads_campaignsid PK · custom fields → flattened columns for the explore UI
ad squadssnapchat_ads_ad_squadsid PK · linked to snapchat_ads_campaigns
adssnapchat_ads_adsid PK · linked to snapchat_ads_campaigns
creativessnapchat_ads_creativesid PK · linked to snapchat_ads_campaigns

FAQ

How does Datrise handle Snapchat Ads's custom fields in Apache Superset?

Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.

How does the Snapchat Ads to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

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