DatriseAI-first ETL

Microsoft Advertising MongoDB

AI-first ETL from Microsoft Advertising into MongoDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads Microsoft Advertising into MongoDB

Datrise syncs Microsoft Advertising's campaigns, ad groups, keywords, spend, and conversion metrics into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.

Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.

Ideal for document-oriented apps that want CRM data in their existing Mongo store.

Endpoints

Microsoft Advertising: Paid search and audience ads on Microsoft properties.

MongoDB: Document database for flexible schemas.

How Microsoft Advertising entities map to MongoDB

Microsoft Advertising entityMongoDB objectNotes
campaignsbing_ads_campaignsid PK · custom fields → native nested documents
ad groupsbing_ads_ad_groupsid PK · linked to bing_ads_campaigns
keywordsbing_ads_keywordsid PK · linked to bing_ads_campaigns
spendbing_ads_spendid PK · linked to bing_ads_campaigns

FAQ

How does Datrise handle Microsoft Advertising's custom fields in MongoDB?

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

How does the Microsoft Advertising to MongoDB sync stay up to date?

It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.

Related pipelines

Early access

Connect Microsoft Advertising to MongoDB 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.