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Running SQL queries using Apache Tez for DAG-based execution with lower latency than MapReduce.
Distinct from MapReduce Processing Engines: Distinct from MapReduce Processing Engines: focuses on Tez as a DAG-based alternative to MapReduce, not the MapReduce paradigm itself.
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Apache Hive is a SQL-on-Hadoop data warehouse that enables querying and managing petabytes of data stored in distributed storage such as HDFS and cloud storage services. It provides a familiar SQL interface for batch analytics and reporting, supported by a core set of components including the HiveServer2 Thrift service for remote query execution, the Hive Metastore Service for central metadata management, the Hive ACID Transaction Engine for concurrent read-write operations, and the Hive LLAP Interactive Engine for low-latency analytical processing. The WebHCat REST API offers an HTTP interfac
Supports running queries on Apache Tez for lower-latency DAG-based execution.