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DBMS > Hive vs. Impala

System Properties Comparison Hive vs. Impala

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonImpala  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAnalytic DBMS for Hadoop
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score80.87
Rank#14  Overall
#9  Relational DBMS
Score14.86
Rank#37  Overall
#23  Relational DBMS
Websitehive.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperApache Software Foundation infoinitially developed by FacebookCloudera
Initial release20122013
Current release2.3.5, May 20193.2.0, March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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 rolesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
HiveImpala
DB-Engines blog posts

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Recent citations in the news

Get Started with Hadoop Hive HiveQL Languages
9 July 2019, TechiExpert.com

Cloudera Commits to 100% Open Source
12 July 2019, Datanami

Apache Hive creator's Quoble goes serverless with Quantum engine
12 June 2019, DevClass

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17 June 2019, GlobeNewswire

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Mid-Year Tech Skills Value Report: What’s Up… and What’s Dropping
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Cloudera's a data warehouse player now
28 August 2018, ZDNet

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

Apache Impala gets top-level status as open source Hadoop tool
1 December 2017, TechTarget

Cloudera: Impala's it for interactive SQL on Hadoop; everything else will move to Spark
3 July 2014, GigaOM

provided by Google News

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