Streambased Documentation
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  • Overview
    • Key Concepts
  • Streambased Cloud
    • Streambased Cloud UI
      • Create your first Streambased cluster
      • Create your first Streambased API Key
      • Running your first A.S.K Query
      • Exploring your data using S.S.K
    • Iceberg Service for Kafka - I.S.K.
      • Overview
      • Architecture
      • Usage
      • Quick Start
    • Analytics Service for Kafka - A.S.K.
      • Overview
      • Architecture
      • Connecting to Streambased A.S.K.
        • Connect Superset to Streambased A.S.K.
        • Connect Jupyter to Streambased A.S.K.
        • Connect a JDBC Client to Streambased A.S.K.
        • Connect an ODBC client to Streambased A.S.K.
        • Connect a Python Application (SQL Alchemy) to Streambased A.S.K.
    • Storage Service for Kafka - S.S.K.
      • Overview
      • Connecting to Streambased S.S.K.
        • Connecting a S3 compatible client to Streambased S.S.K.
        • Connect a S3manager to Streambased S.S.K.
  • Streambased Platform
    • Overview
    • Requirements
    • Step by Step Installation
    • Configuration
      • Dynamic Configuration
    • 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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Exploring your data using S.S.K

Storage Service for Kafka (S.S.K) lets you pull raw data from Kafka topics for rapid experimentation, like an S3 bucket. No data movement—just tap into Kafka to explore, prototype, and iterate.

PreviousRunning your first A.S.K QueryNextIceberg Service for Kafka - I.S.K.

Last updated 2 months ago