Mailshake to MongoDB Integration

How Datrise loads Mailshake into MongoDB

Datrise syncs Mailshake's campaigns, recipients, sequences, email events, replies, and leads 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

Mailshake: Cold outreach sequences and reply tracking.

MongoDB: Document database for flexible schemas.

How Mailshake entities map to MongoDB

Mailshake entity	MongoDB object	Notes
campaigns	`mailshake_campaigns`	id PK · custom fields → native nested documents
recipients	`mailshake_recipients`	id PK · linked to mailshake_campaigns
sequences	`mailshake_sequences`	id PK · linked to mailshake_campaigns
email events	`mailshake_email_events`	BSON Date events

FAQ

How does Datrise handle Mailshake'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 Mailshake 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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