Key Features
OmniOperator
OmniOperator uses native code (C/C++) to implement big data SQL operators to improve query performance. It uses columnar storage and vectorized execution technologies as well as Kunpeng vectorization instructions to improve operator execution efficiency and query performance of the query engine.
OmniShuffle
OmniShuffle runs in big data clusters of the customer's data center as a performance acceleration component of the big data engine Spark. It employs effective features such as unified addressing of the memory pool, data exchange in memory semantics, and converged shuffle to reduce the drive I/O overhead, quicken the data analysis process, and improve cluster resource utilization.
OmniAdvisor
OmniAdvisor uses AI algorithms to train optimal parameters of the big data engines Spark and Hive, improving Spark and Hive running efficiencies.