MongoDB → Metabase
AI-first ETL from MongoDB into Metabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads MongoDB into Metabase
Datrise syncs MongoDB's collections, documents, change streams, and schema snapshots into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.
Ideal for self-serve questions and dashboards for whole teams.
Endpoints
MongoDB: Document database often used as an operational source for analytics.
Metabase: Open-source analytics with questions, dashboards, and embedded insights.
How MongoDB entities map to Metabase
| MongoDB entity | Metabase object | Notes |
|---|---|---|
| collections | mongodb_collections | id PK · custom fields → flattened columns for the question builder |
| documents | mongodb_documents | id PK · linked to mongodb_collections |
| change streams | mongodb_change_streams | temporal columns for trends events |
| schema snapshots | mongodb_schema_snapshots | id PK · linked to mongodb_collections |
FAQ
How does Datrise handle MongoDB's custom fields in Metabase?
Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.
How does the MongoDB to Metabase sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for MongoDB
Early access
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