Performance Improvements in SingleStoreDB Self-Managed 6.5

SingleStoreDB Self-Managed 6.5 has significantly improved query execution, query optimization, data loading, and system management performance compared to its predecessor, SingleStoreDB Self-Managed 6.0. The database now offers faster shuffle, high-cardinality GROUP BY, IN-list filter, integer run-length encoding (RLE) filter pushdown, internal memory allocation, query optimizer, and statistics improvements. These advancements have resulted in notable speedups for various queries, with some experiencing over 60X performance gains. Additionally, load performance has been improved through faster CSV file parsing, pipelines from S3 cloud storage, and columnstore compression performance enhancements. The database's fundamental architectural advantages, including scale out, compilation, in-memory structures, vectorization, and SIMD, continue to drive its performance improvements, making SingleStoreDB Self-Managed 6.5 an attractive option for demanding data management applications.