Snapchat Ads to Google BigQuery Integration
AI-first ETL from Snapchat Ads into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Snapchat Ads into Google BigQuery
Datrise syncs Snapchat Ads's campaigns, ad squads, ads, creatives, spend, and conversion metrics into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
Snapchat Ads: Paid campaigns across Snapchat placements.
Google BigQuery: Serverless analytics warehouse on GCP.
How Snapchat Ads entities map to Google BigQuery
| Snapchat Ads entity | Google BigQuery object | Notes |
|---|---|---|
| campaigns | snapchat_ads_campaigns | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| ad squads | snapchat_ads_ad_squads | id PK · linked to snapchat_ads_campaigns |
| ads | snapchat_ads_ads | id PK · linked to snapchat_ads_campaigns |
| creatives | snapchat_ads_creatives | id PK · linked to snapchat_ads_campaigns |
FAQ
How does Datrise handle Snapchat Ads's custom fields in Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the Snapchat Ads to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
Related pipelines
More destinations for Snapchat Ads
- Snapchat Ads → Amazon Redshift
- Snapchat Ads → Databricks SQL Warehouse
- Snapchat Ads → ClickHouse
- Snapchat Ads → DuckDB
- Snapchat Ads → Amazon Athena
- Snapchat Ads → Amazon S3 Data Lake
- Snapchat Ads → Azure Data Lake Storage
- Snapchat Ads → Azure Synapse
- Snapchat Ads → Spreadsheets
- Snapchat Ads → Airtable
- Snapchat Ads → CSV Files
- Snapchat Ads → MongoDB
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Early access
Connect Snapchat Ads to Google BigQuery 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.