DatriseAI-first ETL

Sierra Interactive MongoDB

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

How Datrise loads Sierra Interactive into MongoDB

Datrise syncs Sierra Interactive's contacts, accounts, deals, activities, and lifecycle events 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

Sierra Interactive: Real estate CRM for leads, listings, and agent follow-up.

MongoDB: Document database for flexible schemas.

How Sierra Interactive entities map to MongoDB

Sierra Interactive entityMongoDB objectNotes
contactssierra_interactive_contactsid PK · custom fields → native nested documents
accountssierra_interactive_accountsid PK · linked to sierra_interactive_contacts
dealssierra_interactive_dealsid PK · linked to sierra_interactive_contacts
activitiessierra_interactive_activitiesBSON Date events

FAQ

How does Datrise handle Sierra Interactive'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 Sierra Interactive 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

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