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DBMS > Cubrid vs. InterSystems Caché vs. Solr vs. Tigris

System Properties Comparison Cubrid vs. InterSystems Caché vs. Solr vs. Tigris

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonSolr  Xexclude from comparisonTigris  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA multi-model DBMS and application serverA widely used distributed, scalable search engine based on Apache LuceneA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Search engineDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.intersystems.com/­products/­cachesolr.apache.orgwww.tigrisdata.com
Technical documentationcubrid.org/­manualsdocs.intersystems.comsolr.apache.org/­resources.htmlwww.tigrisdata.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationInterSystemsApache Software FoundationTigris Data, Inc.
Initial release2008199720062022
Current release11.0, January 20212018.1.4, May 20209.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaJava
Server operating systemsLinux
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Windows
Data schemeyesdepending on used data modelyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes
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.noyesyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesyesSolr Parallel SQL Interfaceno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
.NET Client API
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresJava Stored ProceduresyesJava pluginsno
Triggersyesyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesyesAccess rights for users and roles

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More resources
CubridInterSystems CachéSolrTigris
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