Apache Hive Drivers for ODBC and JDBC

Only readily available, direct, universal data access solution for Apache Hive that works
Overview
Features
Specifications
Documentation

Simba’s Apache Hive Drivers with SQL Connector for ODBC and JDBC offer direct SQL and HiveQL access to Apache™ Hadoop™ / Hive™ distributions.

Apache Hive Logohive-diagramSimba’s Apache Hive Drivers efficiently transform an application’s SQL query into the equivalent form in HiveQL. The Hive Query Language, a subset of SQL-92, allows Simba’s solutions to interrogate Hive to obtain schema information to present to a SQL-based application. Queries, including joins, are translated from SQL to HiveQL. Market leaders such as Alteryx®, DataStax®, Hortonworks®, MapR® are powered by Simba standards-based ODBC and JDBC to enable Business Intelligence (BI), analytics and reporting on Hive-based data.

Hive is a data warehouse system for Hadoop that facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible file systems. Simba’s ODBC and JDBC standardized solutions enable standard SQL-92 access directly to Apache Hive distributions. They efficiently map SQL to HiveQL delivering full SQL application functionality and real-time analytic and reporting capabilities to users.

Product Highlights

  • Supports all major on-premise and cloud Hadoop / Hive distributions: Apache, Cloudera, DataStax, Hortonworks, MapR and others
  • Supports data types: TinyInt, SmallInt, Int, BigInt, Float, Double, Boolean, String, Decimal and TimeStamp
  • Maps SQL to HiveQL
  • Only direct, universal ODBC 3.52 data access solution for Apache Hive
  • Supports JDBC 3.0 and 4.0

Product Features

  • Direct BI connectivity to data without extraction
  • Supports all major on-premise and cloud Hadoop / Hive distributions
  • Only direct, universal ODBC 3.52 data access solution for Apache Hive
  • Powerful SQL Connector allows users to define schemas on the fly on schema-less data
  • Full compatibility with leading analytic/reporting apps, including Alteryx, Microsoft Excel & Access, SAP Crystal Reports, Tableau and more
  • Maps SQL to HiveQL
  • HiveQL pass-through query option
  • Provides full driver and query metadata

Product Specifications

  • Supports all major on-premise and cloud Hadoop / Hive distributions: Apache, Cloudera, DataStax, Hortonworks, MapR and others
  • Supports Hive 0.70 and later
  • Supports 32- and 64-bit applications
  • Complies with latest ODBC 3.52 specification
  • Supports Unicode
  • Supports multiple platforms, including Windows, RedHat, SUSE, Solaris, AIX, HP-UX and Mac OS X
  • Supports HiveQL: SELECT, INSERT [OVERWRITE] SELECT, LOAD, and CREATE/DROP statements
  • Supports ANSI SQL-92: SELECT/ORDER BY/GROUP BY/HAVING/CROSSJOIN/INNER JOIN/(LEFT|RIGHT|FULL) OUTER JOIN|UNION ALL
  • Supports data types: TinyInt, SmallInt, Int, BigInt, Float, Double, Boolean, String, Decimal and TimeStamp

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