Next-Gen Data Processing with Incremental Query Engines (Chat with Gilad from Epsio)

In this episode of The Infra Pod, Ian Livingstone interviews Gilad Kleinman, CEO of Epsio, about Epsio's next-generation incremental query engine. Gilad discusses the philosophical motivations behind starting Epsio, focusing on the growing gap between collected data and the desired output for end-users, and the redundant work in recomputing data. He explains how Epsio addresses this by removing redundancy and making products faster and more efficient, emphasizing the shift from theoretical advancements in incremental processing to practical integration and ease of use. The conversation explores the differences between batch and stream processing, Epsio's unique UI/UX, and its approach to simplifying complex streaming systems. Gilad also shares use cases, scalability, and the future role of AI in database management, highlighting the importance of UI/UX in the database space and the potential for AI in recommendations and visibility.