Dremio to Apache Superset Integration
AI-first ETL from Dremio into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads Dremio into Apache Superset
Datrise syncs Dremio's datasets, tables, reflections, query jobs, sources, and table schemas into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.
Ideal for open-source dashboards over your own database.
Endpoints
Dremio: Lakehouse query engine over open table formats.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How Dremio entities map to Apache Superset
| Dremio entity | Apache Superset object | Notes |
|---|---|---|
| datasets | dremio_datasets | id PK · custom fields → flattened columns for the explore UI |
| tables | dremio_tables | id PK · linked to dremio_datasets |
| reflections | dremio_reflections | id PK · linked to dremio_datasets |
| query jobs | dremio_query_jobs | id PK · linked to dremio_datasets |
FAQ
How does Datrise handle Dremio's custom fields in Apache Superset?
Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.
How does the Dremio to Apache Superset sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
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Early access
Connect Dremio to Apache Superset the easy way
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