DatriseAI-first ETL

Facebook Ads MySQL

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

How Datrise loads Facebook Ads into MySQL

Datrise syncs Facebook Ads's campaigns, ad sets, ads, spend, and conversion metrics into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

Facebook Ads: Meta paid social campaigns and performance insights.

MySQL: Widely used OSS relational engine (InnoDB).

How Facebook Ads entities map to MySQL

Facebook Ads entityMySQL objectNotes
campaignsfacebook_ads_campaignsid PK · custom fields → JSON columns
ad setsfacebook_ads_ad_setsid PK · linked to facebook_ads_campaigns
adsfacebook_ads_adsid PK · linked to facebook_ads_campaigns
spendfacebook_ads_spendid PK · linked to facebook_ads_campaigns

FAQ

How does Datrise handle Facebook Ads's custom fields in MySQL?

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

How does the Facebook Ads to MySQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

Early access

Connect Facebook Ads to MySQL 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.