Announcing the MapR Hive ODBC Driver

I’m happy to announce that we just released the MapR Hive ODBC Driver. It is available to all MapR M3 and M5 users.

The MapR Hive ODBC Driver is a standard ODBC 3.52 driver, allowing our users to leverage hundreds of commercial and open source SQL-based tools, such as query builders and BI applications. For example, we’ve tested our Hive ODBC Connector with Excel, Tableau, MicroStrategy and a variety of 100% open source SQL tools, such as Kaimon (

As you may know, we deliver the most open Hadoop distribution, supporting the broadest ecosystem of applications. As a Hadoop distribution, we obviously support the Hadoop APIs, but we also support a standard NFS interface, which allows any file-based application to read and write data. With our new Hive ODBC Connector, we allow SQL-based applications to run SQL queries (via Hive).

Other Hadoop vendors have struggled to support connectivity with third-party SQL-based applications, resulting in specialized, proprietary connectors. For example, one Hadoop vendor had to build special-purpose connectors for Tableau and MicroStrategy (based on partial ODBC 2.x support), and even a rudimentary Web-based query builder. Another Hadoop vendor announced a specialized connector for Excel. We decided to take the more open approach of providing a single ODBC driver that complies with the latest ODBC 3.52 standard so that our users can utilize practically any SQL-based query builder or BI application with no special-purpose connectors.

Here’s a screenshot showing Kaimon, an open source SQL query builder, analyzing some Apache httpd logs via the MapR Hive ODBC Connector:

Here’s a similar screenshot with Microsoft Excel:

To get started, check out the Hive ODBC Connector page in our documentation:


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