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Powerful Connectivity to MapR Hive

Trusted

Guaranteed reliability with comprehensive quality testing and true compliance to standards

Easy

One driver supports all MapR distributions

Day 1 Support

Day 1 Support

mapr

Connect to MapR Hive via

ODBC JDBC OData Cloud

Features

Secure

Protect data in motion with complete OpenSSL support with full update compliance

Easy to Use

One driver supports all major on-premise and cloud Hadoop/Hive distributions—Apache, Cloudera CDH, Hortonworks, Pivotal HD, MapR, Amazon EMR and others

Quality

Certified DataDirect quality guarantees MapR Hive and application compatibility through explicit Hive-focused testing

Broad Coverage

Broad application support providing JOINs and aggregate operations done natively via full ANSI SQL support

Codeless Configuration

Optimize performance and compatibility with any application without application changes

Scalable

Enhance scale and reliability with connection pooling and transparent reconnections

Security Vulnerability Response Policy

Upon identification of any security vulnerability, Progress will exercise commercially reasonable efforts to address the vulnerability in accordance with the following policy:

Priority* Time Guideline Version(s)
High Risk
(CVSS 8+ or industry equivalent)
30 days Active (i.e. latest shipping version) and all Supported versions
Medium Risk
(CVSS 5-to-8 or industry equivalent)
180 days Active (i.e. latest shipping version)
Low Risk
(CVSS 0-to-5 or industry equivalent)
Next major release or best effort Active (i.e. latest shipping version)

* Priority is established based on the current version of the Common Vulnerability Scoring System (CVSS), an open industry standard for assessing the severity of computer system security vulnerabilities. For additional information on this scoring system, refer to https://en.wikipedia.org/wiki/CVSS.

Learning & Support

Video

Data Integration for Apache Spark

This video contains 3 short demos showcasing data connectivity options for the Spark environment via JDBC Apache SQOOP, ODBC SparkSQL and Salesforce Spark Dataframes.

IN THE SPOTLIGHT

Boost your MapR Capabilities using our Big Data Solutions

DataDirect offers a full range of data connectivity solutions for big data frameworks such as Hadoop and Apache Spark. Expose big data sets using industry standards for SQL and REST or integrate them with traditional data sources across RDBMS to Cloud.

SQOOP GUIDE

Apache Sqoop Connector Guide

In this guide, learn more about how DataDirect Drivers can give you a better experience than the sqoop certified drivers.

Customer Success Stories

toyota-min

When Toyota Motor Sales introduced Progress DataDirect for ODBC to their intricate data architecture, they saved $100,000 in 24 hours. Learn more in this case study from Progress Software.

Read the whole story
unisys-min

Unisys Global Media embeds DataDirect Technologies’ wire protocol ODBC driver for Oracle within Hermes, its news content manager. As a result, Unisys customers have fast-to-the-wire access to Oracle databases and seamless integration between Unisys' editorial solutions and their existing databases and software packages.

Read the whole story
foxwoods-min

Improved understanding of how to serve the needs and desires of patrons with Progress® DataDirect Connect® for ODBC —for near-immediate visibility into Windows-based data stores from a UNIX-based data warehouse platform.

Read the whole story

Connect any application to any data source anywhere

A product specialist will be glad to get in
touch with you