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DBMS > mSQL vs. NSDb vs. OrigoDB vs. Realm vs. Solr

System Properties Comparison mSQL vs. NSDb vs. OrigoDB vs. Realm vs. Solr

Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparisonRealm  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Document storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitehughestech.com.au/­products/­msqlnsdb.ioorigodb.comrealm.iosolr.apache.org
Technical documentationnsdb.io/­Architectureorigodb.com/­docsrealm.io/­docssolr.apache.org/­resources.html
DeveloperHughes TechnologiesRobert Friberg et alRealm, acquired by MongoDB in May 2019Apache Software Foundation
Initial release199420172009 infounder the name LiveDB20142006
Current release4.4, October 20219.6.0, April 2024
License infoCommercial or Open Sourcecommercial infofree licenses can be providedOpen Source infoApache Version 2.0Open SourceOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, ScalaC#Java
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Linux
Windows
Android
Backend: server-less
iOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringUser defined using .NET types and collectionsyesyes infosupports customizable data types and automatic typing
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.nonono infocan be achieved using .NETnoyes
Secondary indexesyesall fields are automatically indexedyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query languagenonoSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
Java
Scala
.Net.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyesno inforuns within the applications so server-side scripts are unnecessaryJava plugins
Triggersnoyes infoDomain Eventsyes infoChange Listenersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-Memory realmyes
User concepts infoAccess controlnoRole based authorizationyesyes

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More resources
mSQL infoMini SQLNSDbOrigoDBRealmSolr
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