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

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

Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonLinter  Xexclude from comparisonLovefield  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 serverRDBMS for high security requirementsEmbeddable relational database for web apps written in pure JavaScriptOpen 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 DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument storeSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.intersystems.com/­products/­cachelinter.rugoogle.github.io/­lovefieldsiridb.comsolr.apache.org
Technical documentationdocs.intersystems.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.siridb.comsolr.apache.org/­resources.html
DeveloperInterSystemsrelex.ruGoogleCesbitApache Software Foundation
Initial release19971990201420172006
Current release2018.1.4, May 20202.1.12, February 20179.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open 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 languageC and C++JavaScriptCJava
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxAll 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 SQLyesyesSQL-like query language infovia JavaScript builder patternnoSolr Parallel SQL Interface
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
JavaScriptC
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 proceduresyesyes infoproprietary syntax with the possibility to convert from PL/SQLnonoJava plugins
TriggersyesyesUsing read-only observersnoyes 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 replicationSource-replica replicationnoneyesyes
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 integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByesyes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardnosimple rights management via user accountsyes

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More resources
InterSystems CachéLinterLovefieldSiriDBSolr
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