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DBMS > InterSystems Caché vs. Lovefield vs. Realm vs. SiriDB vs. Solr

System Properties Comparison InterSystems Caché vs. Lovefield vs. Realm vs. SiriDB vs. Solr

Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonLovefield  Xexclude from comparisonRealm  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverEmbeddable relational database for web apps written in pure JavaScriptA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen Source Time Series DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSDocument storeTime Series DBMSSearch engine
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.intersystems.com/­products/­cachegoogle.github.io/­lovefieldrealm.iosiridb.comsolr.apache.org
Technical documentationdocs.intersystems.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdrealm.io/­docsdocs.siridb.comsolr.apache.org/­resources.html
DeveloperInterSystemsGoogleRealm, acquired by MongoDB in May 2019CesbitApache Software Foundation
Initial release19972014201420172006
Current release2018.1.4, May 20202.1.12, February 20179.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptCJava
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAndroid
Backend: server-less
iOS
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemedepending on used data modelyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infoNumeric datayes 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.yesnononoyes
Secondary indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternnonoSolr Parallel SQL Interface
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
JavaScript.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnono inforuns within the applications so server-side scripts are unnecessarynoJava plugins
TriggersyesUsing read-only observersyes infoChange Listenersnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneyesyes
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 systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes infoIn-Memory realmyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesnoyessimple rights management via user accountsyes

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More resources
InterSystems CachéLovefieldRealmSiriDBSolr
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