DatriseAI-first ETL

Source connector

Firebolt connector

Firebolt integration for databases, warehouses and BI tools

Cloud data warehouse tuned for fast analytics. Datrise captures Firebolt entities such as databases, tables, aggregating indexes, query jobs, table schemas and partitions, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.

Of the 6 objects, 5 sync as upserts keyed on the primary key and 1 as append-only streams, so each incremental run moves only what changed since the last watermark. Every object lands in its own table (for example `firebolt_databases`) with a schema derived from the Firebolt API rather than a flattened CSV, in any of the 43 supported destinations.

Datrise is in early access: pick a destination below to open the Firebolt pipeline page, and join the waitlist to get the Firebolt connector with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What Firebolt data Datrise extracts

Each object lands in its own typed table. Sync mode is derived from the object: history-style objects append, everything else upserts.

ObjectLanding tableSync mode
databasesfirebolt_databasesUpsert by primary key, incremental on updated-at
tablesfirebolt_tablesUpsert by primary key, incremental on updated-at
aggregating indexesfirebolt_aggregating_indexesUpsert by primary key, incremental on updated-at
query jobsfirebolt_query_jobsAppend-only, incremental by timestamp
table schemasfirebolt_table_schemasUpsert by primary key, incremental on updated-at
partitionsfirebolt_partitionsUpsert by primary key, incremental on updated-at

Popular destinations for Firebolt

Choose a destination below to open the ready pipeline page.

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    Airtable

    Relational spreadsheet destination for ops and go-to-market teams.

    View pipeline
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    Amazon Athena

    Serverless SQL over S3 data lake tables.

    View pipeline
  • A
    Amazon DynamoDB

    Serverless key-value and document store on AWS.

    View pipeline
  • A
    Amazon QuickSight

    AWS serverless BI with SPICE and embedded analytics.

    View pipeline
  • A
    Amazon Redshift

    AWS petabyte-scale warehouse with Spectrum.

    View pipeline
  • A
    Amazon S3 Data Lake

    Object storage landing zone for parquet and snapshots.

    View pipeline
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    Apache Superset

    Open-source BI for SQL exploration, charts, and dashboard publishing.

    View pipeline
  • A
    Azure Data Lake Storage

    ADLS Gen2 object storage for analytics workloads.

    View pipeline
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    Azure Synapse

    Microsoft analytics workspace with SQL pools.

    View pipeline

Firebolt connector FAQ

What Firebolt data does the connector extract?
6 objects: databases, tables, aggregating indexes, query jobs, table schemas and partitions. Each lands in its own table with types preserved; history-style objects (1: query jobs) load as append-only streams.
Is the Firebolt integration incremental?
Yes. After the initial full load, every run reads only records changed since the last watermark (updated-at or event timestamp) and applies an upsert or an append depending on the object.
Where can I load Firebolt data?
Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Firebolt → destination pair has its own page with the object-to-table mapping.

Related sources

Other sources in the same category, each with its own connector page.

Early access

Launch your Firebolt pipeline with guided onboarding

Join the waitlist to get priority access for Firebolt integrations with guided setup, schema-aware mapping, and production-grade incremental sync.