Firebolt to MongoDB Integration
AI-first ETL from Firebolt into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Firebolt into MongoDB
Datrise syncs Firebolt's databases, tables, aggregating indexes, query jobs, table schemas, and partitions 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
Firebolt: Cloud data warehouse tuned for fast analytics.
MongoDB: Document database for flexible schemas.
How Firebolt entities map to MongoDB
| Firebolt entity | MongoDB object | Notes |
|---|---|---|
| databases | firebolt_databases | id PK · custom fields → native nested documents |
| tables | firebolt_tables | id PK · linked to firebolt_databases |
| aggregating indexes | firebolt_aggregating_indexes | id PK · linked to firebolt_databases |
| query jobs | firebolt_query_jobs | id PK · linked to firebolt_databases |
FAQ
How does Datrise handle Firebolt'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 Firebolt 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 Firebolt
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