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DBMS > Hawkular Metrics vs. InterSystems Caché vs. LokiJS vs. MarkLogic vs. searchxml

System Properties Comparison Hawkular Metrics vs. InterSystems Caché vs. LokiJS vs. MarkLogic vs. searchxml

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLokiJS  Xexclude from comparisonMarkLogic  Xexclude from comparisonsearchxml  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A multi-model DBMS and application serverIn-memory JavaScript DBMSOperational and transactional Enterprise NoSQL databaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Document storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Native XML DBMS
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score0.48
Rank#262  Overall
#42  Document stores
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score0.01
Rank#386  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.hawkular.orgwww.intersystems.com/­products/­cachegithub.com/­techfort/­LokiJSwww.marklogic.comwww.searchxml.net/­category/­products
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.intersystems.comtechfort.github.io/­LokiJSdocs.marklogic.comwww.searchxml.net/­support/­handouts
DeveloperCommunity supported by Red HatInterSystemsMarkLogic Corp.informationpartners gmbh
Initial release20141997201420012015
Current release2018.1.4, May 202011.0, December 20221.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Sourcecommercial inforestricted free version is availablecommercial
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 languageJavaJavaScriptC++C++
Server operating systemsLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Windows
Data schemeschema-freedepending on used data modelschema-freeschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.noyesnoyesyes
Secondary indexesnoyesyes infovia viewsyesyes
SQL infoSupport of SQLnoyesnoyes infoSQL92no
APIs and other access methodsHTTP REST.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
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesGo
Java
Python
Ruby
C#
C++
Java
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoyesView functions in JavaScriptyes infovia XQuery or JavaScriptyes infoon the application server
Triggersyes infovia Hawkular Alertingyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationnoneyesyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a single collection possibleACID infocan act as a resource manager in an XA/JTA transactionmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes, with Range Indexesno
User concepts infoAccess controlnoAccess rights for users, groups and rolesnoRole-based access control at the document and subdocument levelsDomain, group and role-based access control at the document level and for application services

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More resources
Hawkular MetricsInterSystems CachéLokiJSMarkLogicsearchxml
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