Dremio
Lakehouse query engine for Apache Iceberg with a REST API for SQL jobs, job results, catalog entities and reflections.
- Category
- Cloud & Data Platforms
- Type
- Data warehouse & lakehouse
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token
- Docs
- Dremio API docs
02Data
What you can sync.
- Sql job results
- Catalog entities
- Reflections
- Jobs
Put Dremio sql job results next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Dremio data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
Dremio uses an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in Dremio if you need help.
04How it works
How it works in DataMind.
-
Pick Dremio.
Open Lake, pick Dremio in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Dremio API docs.
-
Answer a few questions.
The AI reads the Dremio documentation, then asks which credentials you will use, which data to sync (for example sql job results and catalog entities), 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 Dremio data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
05Related
More like Dremio.
ClouderaData warehouse & lakehouse
DatabricksData warehouse & lakehouse
SAP DatasphereData warehouse & lakehouse- Teradata VantageCloudData warehouse & lakehouse
Apache HiveData warehouse & lakehouse
ExasolData warehouse & lakehouse
FireboltData warehouse & lakehouse
IBM watsonx.dataData warehouse & lakehouse