Notable Use Cases

Streambased is especially powerful for the following cases:

  • Real-time investigation and debugging - Use industry standard tools (such as Jupyter, Tableau, Superset) and techniques (SQL) to investigate live issues with zero latency data.

  • Ad-hoc reporting - Don't miss the hidden data point. Include the full breadth of your organisation's data in your reporting tasks.

  • Data Lake freshness - Remove ETL associated latency constraints to have the freshest data available in your data lake.

  • Vibe coding for data - Use AI agents to reduce grunt work for data scientists and analysts, and directly connect business users with data.

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