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DBMS > MonetDB vs. Realm vs. Riak TS vs. searchxml

System Properties Comparison MonetDB vs. Realm vs. Riak TS vs. searchxml

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonRealm  Xexclude from comparisonRiak TS  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSDocument storeTime Series DBMSNative XML DBMS
Search engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.monetdb.orgrealm.iowww.searchxml.net/­category/­products
Technical documentationwww.monetdb.org/­Documentationrealm.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.searchxml.net/­support/­handouts
DeveloperMonetDB BVRealm, acquired by MongoDB in May 2019Open Source, formerly Basho Technologiesinformationpartners gmbh
Initial release2004201420152015
Current releaseDec2023 (11.49), December 20233.0.0, September 20221.0
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open SourceOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCErlangC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
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.nonoyes
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsnoyes, limitedno
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP API
Native Erlang Interface
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
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 APIs
Server-side scripts infoStored proceduresyes, in SQL, C, Rno inforuns within the applications so server-side scripts are unnecessaryErlangyes infoon the application server
Triggersyesyes infoChange Listenersyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusnoneselectable replication factoryes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnoDomain, group and role-based access control at the document level and for application services

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