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DBMS > FatDB vs. MarkLogic vs. Riak KV vs. VoltDB

System Properties Comparison FatDB vs. MarkLogic vs. Riak KV vs. VoltDB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonRiak KV  Xexclude from comparisonVoltDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Operational and transactional Enterprise NoSQL databaseDistributed, fault tolerant key-value storeDistributed 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 modelDocument store
Key-value store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score4.10
Rank#82  Overall
#9  Key-value stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.marklogic.comwww.voltdb.com
Technical documentationdocs.marklogic.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.voltdb.com
DeveloperFatCloudMarkLogic Corp.OpenSource, formerly Basho TechnologiesVoltDB Inc.
Initial release2012200120092010
Current release11.0, December 20223.2.0, December 202211.3, April 2022
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache version 2, commercial enterprise editionOpen 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 languageC#C++ErlangJava, C++
Server operating systemsWindowsLinux
OS X
Windows
Linux
OS X
Linux
OS X infofor development
Data schemeschema-freeschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesno
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLno infoVia inetgration in SQL Serveryes infoSQL92noyes infoonly a subset of SQL 99
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP API
Native Erlang Interface
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
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#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infovia applicationsyes infovia XQuery or JavaScriptErlangJava
Triggersyes infovia applicationsyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionnoACID 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.yes, with Range Indexes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsRole-based access control at the document and subdocument levelsyes, using Riak SecurityUsers and roles with access to stored procedures

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More resources
FatDBMarkLogicRiak KVVoltDB
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