DatriseAI-first ETL

Formkeep to MongoDB Integration

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

How Datrise loads Formkeep into MongoDB

Datrise syncs Formkeep's forms, submissions, fields, answers, spam flags, and notifications 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

Formkeep: Hosted form endpoints and submission storage.

MongoDB: Document database for flexible schemas.

How Formkeep entities map to MongoDB

Formkeep entityMongoDB objectNotes
formsformkeep_formsid PK · custom fields → native nested documents
submissionsformkeep_submissionsid PK · linked to formkeep_forms
fieldsformkeep_fieldsid PK · linked to formkeep_forms
answersformkeep_answersid PK · linked to formkeep_forms

FAQ

How does Datrise handle Formkeep'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 Formkeep 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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