Will HTAP database eat both OLAP & OLTP? Chat with Moritz & Christian at CedarDB

This episode explores the capabilities and potential of CedarDB, a new all-in-one database system designed for modern hardware and data processing. Against the backdrop of the limitations of traditional systems like Postgres in handling today's complex analytical and transactional workloads, CedarDB is presented as a solution built from scratch to address these challenges. More significantly, the founders highlight CedarDB's innovative query optimizer, which compiles SQL queries into efficient machine code, enabling performance comparable to handwritten C code and leveraging large memory capacities for faster processing. For instance, the discussion details how CedarDB handles both OLTP and OLAP workloads within a single system, eliminating the need for complex data pipelines and ETL processes. As the discussion pivoted to scaling, the founders emphasized CedarDB's single-node data processing approach, contrasting it with the distributed architectures of other systems. They argue that this approach is sufficient for most businesses, offering superior efficiency and simplicity. This innovative approach to database design has significant implications for the future of data management, potentially simplifying complex data infrastructures and streamlining data processing for a wide range of applications.