Firebolt
Cloud data warehouse for low-latency analytics; SQL queries run over an HTTP API authenticated with service accounts.
- Category
- Cloud & Data Platforms
- Type
- Data warehouse & lakehouse
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0, Service account key
02Data
What you can sync.
- Sql query results
- Tables
- Engines
- Query history
Load Firebolt sql query results into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Firebolt data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
- A service account key
Firebolt uses OAuth 2.0 (client ID, client secret, refresh token) or a service account key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Firebolt if you need help.
04How it works
How it works in DataMind.
-
Pick Firebolt.
Open Lake, pick Firebolt in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Firebolt API docs.
-
Answer a few questions.
The AI reads the Firebolt documentation, then asks which credentials you will use, which data to sync (for example sql query results and tables), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Firebolt data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
05Related
More like Firebolt.
ClouderaData warehouse & lakehouse
DatabricksData warehouse & lakehouse
SAP DatasphereData warehouse & lakehouse- Teradata VantageCloudData warehouse & lakehouse
Apache HiveData warehouse & lakehouse
DremioData warehouse & lakehouse
ExasolData warehouse & lakehouse
IBM watsonx.dataData warehouse & lakehouse