Hive ODBC & JDBC Driver
Direct and universal data access for Apache Hive that simply works
Simba 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.
Features
Direct BI connectivity to data without extraction
Only direct, universal ODBC 3.8 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, Tableau, PowerBI and more
Complies with latest ODBC 3.8 specification
Complies with latest JDBC 4.1 and 4.2 specification
Maps SQL to HiveQL
HiveQL pass-through query option
Provides full connector and query metadata
Works with HiveServer2
Supports Apache Iceberg - robust transactional integrity, scalability, schema evolution, enhanced performance, and time travel capabilities.
Specifications
Supports major on-premise and cloud Hadoop / Hive distributions such as Apache, Cloudera, DataStax, Hortonworks & MapR
Supports Apache Hive versions 0.11 through 3.1
Supports 32- and 64-bit applications
Supports Unicode
Supports multiple platforms, including Windows, RedHat, SUSE, Solaris SPARC, AIX, 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
Documentation
User Guides, Release Notes and FAQs.