Firebolt to Yellowfin Integration
AI-first ETL from Firebolt into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Firebolt into Yellowfin
Datrise syncs Firebolt's databases, tables, aggregating indexes, query jobs, table schemas, and partitions into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Firebolt: Cloud data warehouse tuned for fast analytics.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Firebolt entities map to Yellowfin
| Firebolt entity | Yellowfin object | Notes |
|---|---|---|
| databases | firebolt_databases | id PK · custom fields → flattened columns |
| 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 Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Firebolt to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Firebolt
Early access
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