Kinetica
GPU-accelerated analytical database for time-series and geospatial data with a REST API for SQL and table records.
- Category
- Cloud & Data Platforms
- Type
- Real-time analytics database
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Username and password, Access token
02Data
What you can sync.
- Sql query results
- Tables
- Records
Put Kinetica sql query results next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Kinetica data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
- An access token
Kinetica uses a username and password or an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in Kinetica if you need help.
04How it works
How it works in DataMind.
-
Pick Kinetica.
Open Lake, pick Kinetica in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Kinetica API docs.
-
Answer a few questions.
The AI reads the Kinetica 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 Kinetica data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
05Related
