Firebolt to PostgreSQL Integration

How Datrise loads Firebolt into PostgreSQL

Datrise syncs Firebolt's databases, tables, aggregating indexes, query jobs, table schemas, and partitions into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Firebolt: Cloud data warehouse tuned for fast analytics.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Firebolt entities map to PostgreSQL

Firebolt entity	PostgreSQL object	Notes
databases	`firebolt_databases`	id PK · custom fields → jsonb 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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Firebolt to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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