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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 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.
The JDBC type 4 driver, also known as the Direct to Database Pure Java Driver, is a database driver implementation that converts JDBC calls directly into a vendor-specific database protocol. Written completely in Java , type 4 drivers are thus platform independent .
Java Database Connectivity (JDBC) is an application programming interface (API) for the Java programming language which defines how a client may access a database.It is a Java-based data access technology used for Java database connectivity.
The Apache Trafodion project provides a SQL query engine with ODBC and JDBC drivers and distributed ACID transaction protection across multiple statements, tables and rows that use HBase as a storage engine. HBase is now serving several data-driven websites [3] but Facebook's Messaging Platform migrated from HBase to MyRocks in 2018.
Cloudera, Inc. was formed on June 27, 2008 in Burlingame, California by Christophe Bisciglia, Amr Awadallah, Jeff Hammerbacher, and chief executive Mike Olson. [3] Prior to Cloudera, Bisciglia, Awadallah, and Hammerbacher were engineers at Google, Yahoo!, and Facebook respectively, [3] and Olson was a database executive at Oracle after his previous company Sleepycat was acquired by Oracle in ...
Added support for executing Parallel SQL queries across SolrCloud collections. Includes StreamExpression support and a new JDBC Driver for the SQL Interface. In September 2017, Solr 7.0 was released. [17] This release among other things, added support multiple replica types, auto-scaling, and a Math engine.
Hortonworks, Inc. was a data software company based in Santa Clara, California that developed and supported open-source software (primarily around Apache Hadoop) designed to manage big data and associated processing.