Streambased Documentation
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  • Overview
    • Key Concepts
  • Streambased Cloud
    • 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.
    • Connecting to Streambased S.S.K.
      • Connect a S3manager to Streambased S.S.K.
    • 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
  • Streambased Platform
    • Requirements
    • Step by Step Installation
    • 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.

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Last updated 20 days ago