TimescaleDB has added a new feature that enables Single Instruction, Multiple Data (SIMD) vectorization on top of its hybrid row columnar storage, making analytical queries significantly faster. The new vectorized query pipeline is designed to work seamlessly with PostgreSQL's existing architecture, allowing developers to scale and stay with PostgreSQL for their analytics workloads. The feature includes decompression speedup, filter optimizations, vectorized expressions, and aggregation improvements, resulting in performance increases of up to an order of magnitude on some queries.