Streambased Documentation
  • Home
  • 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
    • 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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Streambased Platform

Streambased Enterprise is a simple, powerful and cost effective way of performing batch analytics with SQL on Apache Kafka via a fully self managed deployment. Streambased Enterprise deployments can support both cloud managed and on-prem Kafka deployments and also support "Kafka compatibles" such as RedPanda, Warpstream or Confluent Cloud. On-prem deployments can immediately take advantage of Streambased acceleration technology, offering up to 100x query performance improvement over today's SQL on Kafka solutions. Utilising this, users get interactive access to explore, experiment and prototype solutions with streaming data using the tools and techniques they are used to.

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Last updated 3 months ago