Table of Contents:
Overview
Progress DataDirect’s JDBC Driver for MapR Hive offers a high-performing, secure and reliable connectivity solution for JDBC applications to access MapR 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.
- Superior performance through fast-to-the-wire MapR access
- Get full support for any latest version of Hive right away
- Guaranteed reliability with comprehensive quality testing and true compliance to standards
Features
Fast
Superfast data loading and extraction that reduces the time and cost of running enterprise infrastructures
Enterprise Features
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
Robust
Easy to Use
Versatile
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, version 3.0 and higher
- Supports Apache Hive against the following distributions:
- Amazon EMR, version 7.3.0 and higher
- Cloudera Data Platform (CDP), version 7.1.x and higher
- HPE Ezmeral Data Fabric, version 7.0 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.
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