New Interactive BodoSQL for the AI Era

BodoSQL, an open-source distributed SQL engine designed for high-performance analytics, has introduced a new C++-based backend in its 2026.6 release to address the increasing demand for low-latency query execution in the AI-driven data analytics landscape. This update focuses on reducing query startup latency while maintaining BodoSQL's scalability and performance by transitioning from a JIT-based implementation to a runtime system, enabling interactive analytics with faster response times. The C++ backend, leveraging a shared runtime with Bodo DataFrames, provides seamless integration with Python and supports advanced optimizations through an Apache Calcite-based cost optimizer. By utilizing an MPI-based SPMD execution model, BodoSQL minimizes coordination overhead and enhances performance at scale. Although still under development, the C++ backend already demonstrates significant improvements in execution startup times, promising further enhancements as more query patterns become supported, ultimately delivering a more responsive experience for users and AI agents needing immediate data insights.