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DBMS > HBase vs. Riak KV vs. searchxml vs. VoltDB

System Properties Comparison HBase vs. Riak KV vs. searchxml vs. VoltDB

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonRiak KV  Xexclude from comparisonsearchxml  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableDistributed, fault tolerant key-value storeDBMS for structured and unstructured content wrapped with an application serverDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelWide column storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesNative XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitehbase.apache.orgwww.searchxml.net/­category/­productswww.voltdb.com
Technical documentationhbase.apache.org/­book.htmlwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.searchxml.net/­support/­handoutsdocs.voltdb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetOpenSource, formerly Basho Technologiesinformationpartners gmbhVoltDB Inc.
Initial release2008200920152010
Current release2.3.4, January 20213.2.0, December 20221.011.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache version 2, commercial enterprise editioncommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++Java, C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
WindowsLinux
OS X infofor development
Data schemeschema-free, schema definition possibleschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROnoyesyes
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.nonoyes
Secondary indexesnorestrictedyesyes
SQL infoSupport of SQLnononoyes infoonly a subset of SQL 99
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP API
Native Erlang Interface
RESTful HTTP API
WebDAV
XQuery
XSLT
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infomost other programming languages supported via APIsC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaErlangyes infoon the application serverJava
Triggersyesyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryes infosychronisation to multiple collectionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nomultiple readers, single writerACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
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 & ABACyes, using Riak SecurityDomain, group and role-based access control at the document level and for application servicesUsers and roles with access to stored procedures

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More resources
HBaseRiak KVsearchxmlVoltDB
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