DatriseAI-first ETL

Responsys to MongoDB Integration

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

How Datrise loads Responsys into MongoDB

Datrise syncs Responsys's contacts, campaigns, launches, message events, lists, and profile extensions 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

Responsys: Enterprise cross-channel campaign orchestration.

MongoDB: Document database for flexible schemas.

How Responsys entities map to MongoDB

Responsys entityMongoDB objectNotes
contactsresponsys_contactsid PK · custom fields → native nested documents
campaignsresponsys_campaignsid PK · linked to responsys_contacts
launchesresponsys_launchesid PK · linked to responsys_contacts
message eventsresponsys_message_eventsBSON Date events

FAQ

How does Datrise handle Responsys'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 Responsys 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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