Impala DBMS

A Impala DBMS is a open source massively parallel SQL DBMS originally developed by Cloudera.

• Context:
  • …
• Example(s):
  • Impala, v2.7https://github.com/apache/incubator-impala/releases/tag/2.7.0 (Oct 4, 2016 ).
  • https://www.cloudera.com/documentation/enterprise/release-notes/topics/rg_impala_vd.html
• Counter-Example(s):
  • Apache Drill.
  • Apache Hive.
• See: Apache Hadoop, Google F1, Massively Parallel Processing.

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References

2017

• (Wikipedia, 2017) ⇒ https://en.wikipedia.org/wiki/Cloudera_Impala Retrieved:2017-4-19.
  • Cloudera Impala is Cloudera's open source massively parallel processing (MPP) SQL query engine for data stored in a computer cluster running Apache Hadoop. Impala has been described as the open-source equivalent of Google F1, which inspired its development in 2012.

2017

• https://impala.incubator.apache.org/overview.html
  • Impala raises the bar for SQL query performance on Apache Hadoop while retaining a familiar user experience. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time. Furthermore, Impala uses the same metadata, SQL syntax (Hive SQL), ODBC driver, and user interface (Hue Beeswax) as Apache Hive, providing a familiar and unified platform for batch-oriented or real-time queries. (For that reason, Hive users can utilize Impala with little setup overhead.

2017

• https://db-engines.com/en/system/Impala
  • QUOTE: Analytic DBMS for Hadoop
    • Database model Relational DBMS
    • DB-Engines Ranking

Score	11.23
Rank	#32	  Overall

#20 Relational DBMS

2017

• https://cdn2.hubspot.net/hubfs/488249/assets/atscale-data-sheet.pdf
  • QUOTE: … AtScale works out-of-the-box with the leading SQL-on-Hadoop engines, such as Impala, SparkSQL, or Hive, and allows them to function as an analytics engine.

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