Paper Key : IRJ************495
Author: Phani Kiran Mullapudi
Date Published: 03 Mar 2025
Abstract
This comprehensive article examines the evolution and implementation of Hybrid Transactional and Analytical Processing (HTAP) systems in cloud environments. The article explores how HTAP systems bridge the traditional gap between OLTP and OLAP workloads, analyzing their architectural innovations, performance characteristics, and operational considerations. The article explores key technological advancements in areas such as in-memory computing, vectorized query execution, and distributed indexing strategies, while also examining the implementation patterns of major cloud-native HTAP solutions including Snowflake, SingleStore, and Azure Synapse Analytics. Through detailed performance analysis and benchmarking, the article demonstrates how HTAP systems optimize resource utilization, reduce operational complexity, and enable real-time analytics while maintaining transactional capabilities.
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