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Apache Hive JDBC Driver

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Table of Contents:

    Overview

    Progress DataDirect’s JDBC Driver for Apache Hadoop Hive offers a high-performing, secure and reliable connectivity solution for JDBC applications to access Apache Hadoop Hive data. Our JDBC driver can be easily used with all versions of SQL and across both 32-bit and 64-bit platforms. Enjoy real-time analytics, reporting and business intelligence (BI) capabilities with your favorite tools such as SAS, Yellowfin, SAP, Sisense, Denodo, Cognos, Jaspersoft, Tableau, Tibco, OBIEE, and more.

    • Get full support for any new version of Hive from day one
    • Ensures availability with built-in failover and other high-value features
    • Guaranteed reliability with comprehensive quality testing and true compliance to standards

    What's Included

    • Apache Hive
    • Amazon EMR Hive
    • Cloudera CDH Hive
    • Hortonworks Hive
    • IBM BigInsights Hive
    • MapR Hive
    • Pivotal HD Hive 
    • Cloudera Data Platform (CDP)

    Features

    Fast

    Superfast data loading and extraction that reduces the time and cost of running enterprise infrastructures 

    Enterprise Features

    Extensive support of data types to enable the full use of Greenplum functionality 

    Support for Advanced Security Features

     Our Hive JDBC driver supports advanced security mechanisms including Kerberos, Knox, Sentry and Ranger for authentication and authorization across all your distributions.

    Codeless Bulk Load / Export with BatchMechanism

    Progress DataDirect JDBC drivers support bulk load through BatchMechanism. This means existing applications, such as Apache Sqoop, can get bulk insert performance without any code changes or external tools such as bcp for SQL Server or SQL*Loader for Oracle. Learn more from our documentation

    Secure

    Supports the latest TLS protocols for data encryption, secure authentication methods for connections and HTTP Proxy for client security while connecting to cloud deployments 

    Robust

    Ensure high availability via application failover and workload balancing without changing application code 

    Easy to Use

    True standards compliance with ODBC and JDBC 

    Versatile

    Supported on every major platform and certified to work with leading applications such as Tableau, Informatica, ODI and more 

    Technical Specifications

    All versions of this driver are part of the Connect XE for JDBC Series.

    Progress DataDirect for JDBC Apache Hive Driver
    Version 6.0.1

    Hive Version Support

    • Apache Hive 1.0, 2.0, 3.0 and higher
    • Supports Apache Hive against the following distributions:
      • Amazon EMR 4.0 and higher
      • CDH 5.4 and higher
      • Cloudera Data Platform (CDP) 7.1.x and higher
      • Hortonworks 2.3 and higher
      • IBM BigInsights 4.1 and higher
      • MapR 5.2 and higher
      • Microsoft Azure HDInsight for Hive 3.6 and higher
      • Pivotal HD 2.0 and higher

    Platform Support

    • 32- and 64-bit platforms

    Software Requirements

    • Java Virtual Machine (JVM): Java SE 8 or higher (LTS version), including Oracle JDK, OpenJDK, and IBM SDK (Java) distributions.

    Documentation

    Progress DataDirect for JDBC for Apache Hive Driver
    Version 6.0.1

    Big_Data_Framework IN THE SPOTLIGHT
     
    Boost your Big Data Capabilities using our Big Data Solutions
    apache-sqoop-driver-use-case-graphic-(1) SQOOP GUIDE
     
    Apache Sqoop Connector Guide

    See Also

    Tutorials Product Compatibility Guide Blogs Release Notes
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