🌟 Uncover the advantages of using vectorized query engines with SIMD technology in OLAP databases.

Vectorized engines, which store data in columns, are particularly beneficial for performing large-scale aggregations like summations—essential for tasks like weekly sales reports or regional employee counts.

Unlike traditional databases that process data row by row, SIMD allows for multiple data points to be processed with a single CPU instruction, significantly speeding up operations across vast data ranges. This makes SIMD ideal for OLAP systems but less suitable for OLTP (Online Transaction Processing) systems like MySQL and Postgres, which typically handle data on a row-by-row basis.

Originally developed for use in gaming and music to process complex elements simultaneously, SIMD technology has been adapted to power modern OLAP systems, outperforming non-SIMD databases by a substantial margin. The adoption of SIMD in certain OLAP databases not only boosts processing speeds but also positions these systems at the forefront of database performance technology.

🎥 This video is part of our "Unlock User Behavior with 87M Events Using Hudi, StarRocks & MinIO" session with Apache Hudi. To watch in full, visit:    • Unlock User Behavior with 87M Events ...  
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