Apache Spark → MongoDB
AI-first ETL from Apache Spark into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apache Spark into MongoDB
Datrise syncs Apache Spark'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
Apache Spark: SaaS or API data source for analytics and warehouse sync.
MongoDB: Document database for flexible schemas.
How Apache Spark entities map to MongoDB
| Apache Spark entity | MongoDB object | Notes |
|---|---|---|
| records | apache_spark_records | id PK · custom fields → native nested documents |
| events | apache_spark_events | BSON Date events |
| configuration objects | apache_spark_configuration_objects | id PK · linked to apache_spark_records |
FAQ
How does Datrise handle Apache Spark'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 Apache Spark 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
More destinations for Apache Spark
- Apache Spark → Supabase
- Apache Spark → Neon
- Apache Spark → PlanetScale
- Apache Spark → Amazon DynamoDB
- Apache Spark → Looker
- Apache Spark → Looker Studio
- Apache Spark → Microsoft Power BI
- Apache Spark → Tableau
- Apache Spark → Apache Superset
- Apache Spark → Metabase
- Apache Spark → Amazon QuickSight
- Apache Spark → Domo
Early access
Connect Apache Spark to MongoDB the easy way
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