Introducing multilayer caching in Starburst Galaxy
Blog post from Starburst
Starburst Galaxy introduces multilayer caching strategies to enhance data lakehouse performance by addressing the challenges of query optimization at scale, particularly in environments with high concurrency and extensive data volumes. The platform offers three types of caching: Warp Speed, which employs smart indexing to autonomously cache frequently used data, is designed for workloads with multi-dimensional filters; result caching, now generally available, improves performance for repeated queries by storing results in memory, thus reducing wait times and compute work; and subquery caching, in private preview, automatically identifies and stores partial results of common subquery patterns to minimize redundant computations. These caching techniques aim to optimize query execution, ensuring faster insights and efficient resource use, while providing customization options to meet specific workload requirements.