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Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [ 3 ] [ 4 ] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.
To connect with individual databases, JDBC (the Java Database Connectivity API) requires drivers for each database. The JDBC driver gives out the connection to the database and implements the protocol for transferring the query and result between client and database. JDBC technology drivers fit into one of four categories. [2] JDBC-ODBC bridge
HBase: Apache HBase software is the Hadoop database. Think of it as a distributed, scalable, big data store; Helix: a cluster management framework for partitioned and replicated distributed resources; Hive: the Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
An example of this is the KPRB (Kernel Program Bundled) driver [16] supplied with Oracle RDBMS. "jdbc:default:connection" offers a relatively standard way of making such a connection (at least the Oracle database and Apache Derby support it). However, in the case of an internal JDBC driver, the JDBC client actually runs as part of the database ...
Apache Phoenix is an open source, massively parallel, relational database engine supporting OLTP for Hadoop using Apache HBase as its backing store. Phoenix provides a JDBC driver that hides the intricacies of the NoSQL store enabling users to create, delete, and alter SQL tables, views, indexes, and sequences; insert and delete rows singly and in bulk; and query data through SQL. [1]
Apache Iceberg is a high performance open-source format for large analytic tables. Iceberg enables the use of SQL tables for big data while making it possible for engines like Spark , Trino , Flink , Presto , Hive , Impala , StarRocks, Doris, and Pig to safely work with the same tables, at the same time. [ 1 ]
Apache Cassandra is a free and open-source database management system designed to handle large volumes of data across multiple commodity servers. The system prioritizes availability and scalability over consistency , making it particularly suited for systems with high write throughput requirements due to its LSM tree indexing storage layer. [ 2 ]
Apache Impala is an open source massively parallel processing (MPP) SQL query engine for data stored in a computer cluster running Apache Hadoop. [1] Impala has been described as the open-source equivalent of Google F1 , which inspired its development in 2012.