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DBMS > InterSystems Caché vs. LokiJS vs. MarkLogic vs. Microsoft Access vs. Titan

System Properties Comparison InterSystems Caché vs. LokiJS vs. MarkLogic vs. Microsoft Access vs. Titan

Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonLokiJS  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTitan  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionA multi-model DBMS and application serverIn-memory JavaScript DBMSOperational and transactional Enterprise NoSQL databaseMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Document storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#256  Overall
#40  Document stores
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websitewww.intersystems.com/­products/­cachegithub.com/­techfort/­LokiJSwww.progress.com/­marklogicwww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­thinkaurelius/­titan
Technical documentationdocs.intersystems.comtechfort.github.io/­LokiJSwww.progress.com/­marklogic/­documentationdeveloper.microsoft.com/­en-us/­accessgithub.com/­thinkaurelius/­titan/­wiki
DeveloperInterSystemsMarkLogic Corp.MicrosoftAurelius, owned by DataStax
Initial release19972014200119922012
Current release2018.1.4, May 202011.0, December 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Sourcecommercial inforestricted free version is availablecommercial infoBundled with Microsoft OfficeOpen Source infoApache license, version 2.0
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 languageJavaScriptC++C++Java
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Unix
Windows
Data schemedepending on used data modelschema-freeschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.yesnoyes
Secondary indexesyesyes infovia viewsyesyesyes
SQL infoSupport of SQLyesnoyes infoSQL92yes infobut not compliant to any SQL standardno
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
JavaScript APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
DAO
ODBC
OLE DB
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Java
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Clojure
Java
Python
Server-side scripts infoStored proceduresyesView functions in JavaScriptyes infovia XQuery or JavaScriptyes infosince Access 2010 using the ACE-engineyes
Triggersyesyesyesyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possibleACID infocan act as a resource manager in an XA/JTA transactionACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes infobut no files for transaction loggingyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, with Range Indexes
User concepts infoAccess controlAccess rights for users, groups and rolesnoRole-based access control at the document and subdocument levelsno infoa simple user-level security was built in till version Access 2003User authentification and security via Rexster Graph Server

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More resources
InterSystems CachéLokiJSMarkLogicMicrosoft AccessTitan
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