DatriseAI-first ETL

Sendgrid Core MongoDB

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

How Datrise loads Sendgrid Core into MongoDB

Datrise syncs Sendgrid Core's records, events, and configuration objects 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

Sendgrid Core: SaaS or API data source for analytics and warehouse sync.

MongoDB: Document database for flexible schemas.

How Sendgrid Core entities map to MongoDB

Sendgrid Core entityMongoDB objectNotes
recordssendgrid_core_recordsid PK · custom fields → native nested documents
eventssendgrid_core_eventsBSON Date events
configuration objectssendgrid_core_configuration_objectsid PK · linked to sendgrid_core_records

FAQ

How does Datrise handle Sendgrid Core'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 Sendgrid Core 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

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