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DBMS > BaseX vs. HBase vs. Hive vs. TimesTen

System Properties Comparison BaseX vs. HBase vs. Hive vs. TimesTen

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonHBase  Xexclude from comparisonHive  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Wide-column store based on Apache Hadoop and on concepts of BigTabledata warehouse software for querying and managing large distributed datasets, built on HadoopIn-Memory RDBMS compatible to Oracle
Primary database modelNative XML DBMSWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#136  Overall
#4  Native XML DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score1.35
Rank#165  Overall
#75  Relational DBMS
Websitebasex.orghbase.apache.orghive.apache.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.basex.orghbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oracle.com/­database/­timesten-18.1
DeveloperBaseX GmbHApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2007200820121998
Current release10.7, August 20232.3.4, January 20213.1.3, April 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache version 2Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
All OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesoptions to bring your own types, AVROyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javayes infouser defined functions and integration of map-reducePL/SQL
Triggersyes infovia eventsyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
BaseXHBaseHiveTimesTen
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