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DBMS > HBase vs. Impala

System Properties Comparison HBase vs. Impala

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Our visitors often compare HBase and Impala with Hive, Spark SQL and Oracle.

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableAnalytic DBMS for Hadoop
Primary database modelWide column storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.66
Rank#23  Overall
#2  Wide column stores
Score14.51
Rank#37  Overall
#22  Relational DBMS
Websitehbase.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationhbase.apache.orgwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetCloudera
Initial release20082013
Current release2.2.0, June 20193.3.0, August 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 systemsLinux
Unix
Windows infousing Cygwin
Linux
Data schemeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduce
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)no
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.yesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
HBaseImpala
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Recent citations in the news

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The Apache Software Foundation Announces the 10th Anniversary of Apache® HBase™
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Cloudera Extends Apache HBase To Use Amazon S3
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28 August 2018, ZDNet

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24 October 2012, Wired

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