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DBMS > InterSystems IRIS vs. MarkLogic vs. Solr

System Properties Comparison InterSystems IRIS vs. MarkLogic vs. Solr

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Editorial information provided by DB-Engines
NameInterSystems IRIS  Xexclude from comparisonMarkLogic  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOperational and transactional Enterprise NoSQL databaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#121  Overall
#21  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#60  Relational DBMS
Score9.34
Rank#51  Overall
#8  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score53.85
Rank#22  Overall
#3  Search engines
Websitewww.intersystems.com/­products/­intersystems-iriswww.marklogic.comlucene.apache.org/­solr
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.marklogic.comlucene.apache.org/­solr/­resources.html
DeveloperInterSystemsMarkLogic Corp.Apache Software Foundation
Initial release201820012006
Current release2021.1, June 20219.0, 20178.11.0, November 2021
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsAIX
Linux
macOS
Windows
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemedepending on used data modelschema-free infoSchema can be enforcedyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes 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.yesyesyes
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyes infoSQL92Solr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes infovia XQuery or JavaScriptJava plugins
Triggersyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsspark-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 integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesyes
User concepts infoAccess controlyesRole-based access control at the document and subdocument levelsyes
More information provided by the system vendor
InterSystems IRISMarkLogicSolr
Specific characteristicsThe MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesThe main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosMarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersMarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsMarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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More resources
InterSystems IRISMarkLogicSolr
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