DatriseAI-first ETL

Firebolt to Spreadsheets Integration

AI-first ETL from Firebolt into Spreadsheets. Governed entities, incremental sync, typed landing tables.

How Datrise loads Firebolt into Spreadsheets

Datrise syncs Firebolt's databases, tables, aggregating indexes, query jobs, table schemas, and partitions into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

Firebolt: Cloud data warehouse tuned for fast analytics.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Firebolt entities map to Spreadsheets

Firebolt entitySpreadsheets objectNotes
databasesfirebolt_databasesid PK · custom fields → JSON-stringified cells for nested fields
tablesfirebolt_tablesid PK · linked to firebolt_databases
aggregating indexesfirebolt_aggregating_indexesid PK · linked to firebolt_databases
query jobsfirebolt_query_jobsid PK · linked to firebolt_databases

FAQ

How does Datrise handle Firebolt's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

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

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

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