Streambased Documentation
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        • Connect Superset to Streambased A.S.K.
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        • Connect an ODBC client to Streambased A.S.K.
        • Connect a Python Application (SQL Alchemy) to Streambased A.S.K.
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      • Connecting to Streambased S.S.K.
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  • Streambased Platform
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    • Step by Step Installation
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    • Connecting Analytical Applications to Streambased
      • Connect Superset to Streambased
      • Connect Jupyter to Streambased
      • Connect a JDBC Client to Streambased
      • Connect an ODBC client to Streambased
      • Connect a Python Application (SQL Alchemy) to Streambased
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  • Prerequisites:
  • Step 1: Add a Database
  • Step 3: Configure the database
  • Step 3: Test the connection
  • Step 4: Run some queries
  1. Streambased Platform
  2. Connecting Analytical Applications to Streambased

Connect Superset to Streambased

Superset is a modern, open source data exploration and visualization platform. Let's supercharge it's capabilities with real-time data from Streambased.

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Last updated 3 months ago

Prerequisites:

  • A running Streambased instance, for instructions see

  • A running Superset deployment

Step 1: Add a Database

Locate the Settings button in the top right and select Database Connections

In the resulting screen select + Database and select Trino as the database type:

Step 3: Configure the database

In the resulting screen under basic tab configure the following properties:

Property Name
Value

DISPLAY NAME

Streambased #(or other meaningful name to you)

SQLALCHEMY URI

trino://[server host]:[server port]/kafka

By default server port is 8080 and server host is the name of the host on which the docker instance has been launched.

Step 3: Test the connection

Click TEST CONNECTION, you should receive a message similar to the following:

Step 4: Run some queries

From the menu bar select SQL -> SQL LAB, you should see your Streambased database and schema listed. Happy querying!

here
Add a database
Select Trino
A successful connection
Execute SQL