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DBMS > HBase vs. Hive vs. Quasardb vs. UniData,UniVerse

System Properties Comparison HBase vs. Hive vs. Quasardb vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTabledata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelWide column storeRelational DBMSTime Series DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitehbase.apache.orghive.apache.orgquasar.aiwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationhbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookquasardbRocket Software
Initial release2008201220091985
Current release2.3.4, January 20213.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C
Server operating systemsLinux
Unix
Windows infousing Cygwin
All OS with a Java VMBSD
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-free, schema definition possibleyesschema-freeschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes infointeger and binaryoptional
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 indexesnoyesyes infowith tagsyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
HTTP APIJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infouser defined functions and integration of map-reducenoyes
Triggersyesnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorSource-replica replication with selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducewith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailAccess rights according to SQL-standard and operating system based

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More resources
HBaseHiveQuasardbUniData,UniVerse
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