Tutorial: Using Impala JDBC and SQL with Apache Kudu

Learn how to connect SQL JDBC applications to Apache Kudu using Progress DataDirect in our step-by-step tutorial.

Apache Kudu is a storage manager for the Hadoop ecosystem. Kudu is designed for analytics with a goal of enabling "fast analytics on fast data." Kudu uses a streamlined architecture to store tables with a familiar relational model. Accessing data via SQL and NoSQL methods are both supported.  

Kudu combines the benefits of real-time processing with the capability for analytics. Learn more in the Apache Kudu Overview or visit the Kudu Repository on Github.


Because Kudu supports SQL, access is available via the standard JDBC interface. While you can certainly build new applications against Kudu, JDBC and SQL access also open Kudu to many existing off-the-shelf applications. 

The Progress DataDirect JDBC driver for Impala leverages Kudu's tight integration with Impala. That integration allows you to insert, update, delete or query Kudu data along with several other operations. 

With the flexibility to access Impala as well as Kudu, the Progress JDBC driver for Impala handles volume and velocity easily, and instantly works with popular BI and analytics tools.



Ready to get started using SQL queries and JDBC against Apache Kudu? Check out this tutorial to walk you through the simple setup.

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