DatriseAI-first ETL

Snapchat Ads to Sisense Integration

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

How Datrise loads Snapchat Ads into Sisense

Datrise syncs Snapchat Ads's campaigns, ad squads, ads, creatives, spend, and conversion metrics into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.

Ideal for embedded analytics on an in-memory engine.

Endpoints

Snapchat Ads: Paid campaigns across Snapchat placements.

Sisense: Analytics platform with elastic data models and embedded analytics.

How Snapchat Ads entities map to Sisense

Snapchat Ads entitySisense objectNotes
campaignssnapchat_ads_campaignsid PK · custom fields → flattened columns for the cube
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 Sisense?

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

How does the Snapchat Ads to Sisense sync stay up to date?

It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.

Related pipelines

Early access

Connect Snapchat Ads to Sisense 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.