When it comes to data streaming, organizations are using complex tech systems to meet user expectations. The challenges of constructing and managing event-driven data pipelines often require substantial data engineering efforts, hindering the adaptability of applications. 

GlassFlow's mission is to democratize real-time data processing, helping organizations of all sizes and Python engineers from diverse backgrounds unlock the full potential of streaming data. The product includes an easy-to-use setup that scales automatically with the performance needs of the pipelines and a serverless transformation engine that allows users to define applications as functions and events.

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