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DBMS > Impala

Impala System Properties

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Our visitors often compare Impala with Hive, Spark SQL and IBM Db2.

Editorial information provided by DB-Engines
NameImpala
DescriptionAnalytic DBMS for Hadoop
Primary database modelRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.17
Rank#37  Overall
#23  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperCloudera
Initial release2013
Current release3.4.0, April 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinux
Data schemeyes
Typing infopredefined data types such as float or dateyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduce
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
Impala
Recent citations in the news

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera says Impala is faster than Hive, which isn't saying much – Gigaom
13 January 2014, GigaOM

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Pentaho adds Amazon Redshift, Cloudera Impala to stable of data sources
17 February 2015, SiliconANGLE

provided by Google News

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