Abstract
Impala is the default MPP SQL engine for Kudu. Impala allows you to interact with Kudu using SQL. If you have experience with traditional relational databases where the SQL and storage engines are tightly integrated, you might find it unusual that Kudu and Impala are decoupled from each other. Impala was designed to work with other storage engines such as HDFS, HBase, and S3, not just Kudu. There’s also work underway to integrate other SQL engines such as Apache Drill (DRILL4241) and Hive (HIVE12971) with Kudu. Decoupling storage, SQL, and processing engines is common in the open source community.
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© 2018 Butch Quinto
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Quinto, B. (2018). High Performance Data Analysis with Impala and Kudu. In: Next-Generation Big Data. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3147-0_4
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DOI: https://doi.org/10.1007/978-1-4842-3147-0_4
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3146-3
Online ISBN: 978-1-4842-3147-0
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