RisingWave
by RisingWave Labs
Streaming database with PostgreSQL wire compatibility for incremental materialized views; read with PostgreSQL drivers.
- Category
- Cloud & Data Platforms
- Type
- Real-time analytics database
- Interface
- database interface
- Built with
- Connect Anything
- Credentials
- Username and password
02Data
What you can sync.
- Materialized views
- Tables
- Sql query results
Load RisingWave materialized views into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other RisingWave data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
RisingWave uses a username and password. You add the credentials once, when the AI asks for them, and it tells you where to create them in RisingWave Labs if you need help.
04How it works
How it works in DataMind.
-
Pick RisingWave.
Open Lake, pick RisingWave in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the RisingWave API docs.
-
Answer a few questions.
The AI reads the RisingWave documentation, then asks which credentials you will use, which data to sync (for example materialized views and tables), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
The connector agent writes a Python connector for RisingWave, tests it against the live API and shows you sample rows. Then the data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
05Related
