Facebook Ads → Databricks SQL Warehouse
AI-first ETL from Facebook Ads into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Facebook Ads into Databricks SQL Warehouse
Datrise syncs Facebook Ads's campaigns, ad sets, ads, spend, and conversion metrics into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.
Ideal for lakehouse analytics and ML feature tables on Databricks.
Endpoints
Facebook Ads: Meta paid social campaigns and performance insights.
Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.
How Facebook Ads entities map to Databricks SQL Warehouse
| Facebook Ads entity | Databricks SQL Warehouse object | Notes |
|---|---|---|
| campaigns | facebook_ads_campaigns | id PK · custom fields → VARIANT or STRUCT columns |
| ad sets | facebook_ads_ad_sets | id PK · linked to facebook_ads_campaigns |
| ads | facebook_ads_ads | id PK · linked to facebook_ads_campaigns |
| spend | facebook_ads_spend | id PK · linked to facebook_ads_campaigns |
FAQ
How does Datrise handle Facebook Ads's custom fields in Databricks SQL Warehouse?
Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.
How does the Facebook Ads to Databricks SQL Warehouse sync stay up to date?
It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.
Related pipelines
More destinations for Facebook Ads
- Facebook Ads → ClickHouse
- Facebook Ads → DuckDB
- Facebook Ads → Amazon Athena
- Facebook Ads → Amazon S3 Data Lake
- Facebook Ads → Azure Data Lake Storage
- Facebook Ads → Azure Synapse
- Facebook Ads → Spreadsheets
- Facebook Ads → Airtable
- Facebook Ads → CSV Files
- Facebook Ads → MongoDB
- Facebook Ads → Supabase
- Facebook Ads → Neon
More sources for Databricks SQL Warehouse
- FullStory → Databricks SQL Warehouse
- GitHub → Databricks SQL Warehouse
- GitLab → Databricks SQL Warehouse
- Google Drive → Databricks SQL Warehouse
- Google Search Console → Databricks SQL Warehouse
- Harvest → Databricks SQL Warehouse
- Iterable → Databricks SQL Warehouse
- Klaviyo → Databricks SQL Warehouse
- Adobe Commerce (Magento) → Databricks SQL Warehouse
- Mixpanel → Databricks SQL Warehouse
- NetSuite → Databricks SQL Warehouse
- Pardot → Databricks SQL Warehouse
Early access
Connect Facebook Ads to Databricks SQL Warehouse 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.