QuestDB 9.3.4 and Enterprise 3.2.4: Dynamic WINDOW JOIN, Parquet Bloom Filters, and Array Analytics
Blog post from QuestDB
QuestDB, an open-source time-series database designed for high-performance workloads, has released versions 9.3.4 and Enterprise 3.2.4, introducing several enhancements. Key updates include dynamic window functions in SQL, which allow for per-row lookback intervals, enhancing query flexibility and performance. The new release also adds bloom filter pruning for Parquet files, optimizing data retrieval by skipping irrelevant data and improving I/O efficiency. Additionally, QuestDB now supports element-wise array functions for more granular order book analytics and enables per-column Parquet encoding and compression, providing customizable storage solutions. The Enterprise edition simplifies access management with COPY PERMISSIONS for easy permission duplication and automatic permission clean-up when users or objects are removed. Performance improvements across various operations, including ASOF and WINDOW JOIN, and enhanced parallel execution, further boost the database's efficiency and speed.
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