Facebook Marketing → Microsoft SQL Server
AI-first ETL from Facebook Marketing into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Facebook Marketing into Microsoft SQL Server
Datrise syncs Facebook Marketing's records, events, and configuration objects into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
Facebook Marketing: SaaS or API data source for analytics and warehouse sync.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Facebook Marketing entities map to Microsoft SQL Server
| Facebook Marketing entity | Microsoft SQL Server object | Notes |
|---|---|---|
| records | facebook_marketing_records | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| events | facebook_marketing_events | datetime2 events |
| configuration objects | facebook_marketing_configuration_objects | id PK · linked to facebook_marketing_records |
FAQ
How does Datrise handle Facebook Marketing's custom fields in Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the Facebook Marketing to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
More destinations for Facebook Marketing
- Facebook Marketing → Oracle Database
- Facebook Marketing → Snowflake
- Facebook Marketing → Google BigQuery
- Facebook Marketing → Amazon Redshift
- Facebook Marketing → Databricks SQL Warehouse
- Facebook Marketing → ClickHouse
- Facebook Marketing → DuckDB
- Facebook Marketing → Amazon Athena
- Facebook Marketing → Amazon S3 Data Lake
- Facebook Marketing → Azure Data Lake Storage
- Facebook Marketing → Azure Synapse
- Facebook Marketing → Spreadsheets
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Early access
Connect Facebook Marketing to Microsoft SQL Server 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.