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DBMS > Elasticsearch vs. InterSystems Caché vs. Linter vs. Solr

System Properties Comparison Elasticsearch vs. InterSystems Caché vs. Linter vs. Solr

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLinter  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 distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA multi-model DBMS and application serverRDBMS for high security requirementsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelSearch engineKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document storeSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.elastic.co/­elasticsearchwww.intersystems.com/­products/­cachelinter.rusolr.apache.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.intersystems.comsolr.apache.org/­resources.html
DeveloperElasticInterSystemsrelex.ruApache Software Foundation
Initial release2010199719902006
Current release8.6, January 20232018.1.4, May 20209.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialcommercialOpen Source infoApache Version 2
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 languageJavaC and C++Java
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentdepending on used data modelyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes 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.noyesnoyes
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageyesyesSolr Parallel SQL Interface
APIs and other access methodsJava API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyesyes infoproprietary syntax with the possibility to convert from PL/SQLJava plugins
Triggersyes infoby using the 'percolation' featureyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.Memcached and Redis integrationyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardyes

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More resources
ElasticsearchInterSystems CachéLinterSolr
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