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DBMS > Hawkular Metrics vs. LokiJS vs. MarkLogic vs. OrigoDB vs. Trafodion

System Properties Comparison Hawkular Metrics vs. LokiJS vs. MarkLogic vs. OrigoDB vs. Trafodion

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonLokiJS  Xexclude from comparisonMarkLogic  Xexclude from comparisonOrigoDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-memory JavaScript DBMSOperational and transactional Enterprise NoSQL databaseA fully ACID in-memory object graph databaseTransactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitewww.hawkular.orggithub.com/­techfort/­LokiJSwww.marklogic.comorigodb.comtrafodion.apache.org
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidetechfort.github.io/­LokiJSdocs.marklogic.comorigodb.com/­docstrafodion.apache.org/­documentation.html
DeveloperCommunity supported by Red HatMarkLogic Corp.Robert Friberg et alApache Software Foundation, originally developed by HP
Initial release2014201420012009 infounder the name LiveDB2014
Current release11.0, December 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Sourcecommercial inforestricted free version is availableOpen SourceOpen Source infoApache 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 languageJavaJavaScriptC++C#C++, Java
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
Windows
Linux
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyesnoyesUser defined using .NET types and collectionsyes
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.nonoyesno infocan be achieved using .NETno
Secondary indexesnoyes infovia viewsyesyesyes
SQL infoSupport of SQLnonoyes infoSQL92noyes
APIs and other access methodsHTTP RESTJavaScript 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
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
Python
Ruby
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.NetAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoView functions in JavaScriptyes infovia XQuery or JavaScriptyesJava Stored Procedures
Triggersyes infovia Hawkular Alertingyesyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranoneyesSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single collection possibleACID infocan act as a resource manager in an XA/JTA transactionACIDACID
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 infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyesno
User concepts infoAccess controlnonoRole-based access control at the document and subdocument levelsRole based authorizationfine grained access rights according to SQL-standard

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More resources
Hawkular MetricsLokiJSMarkLogicOrigoDBTrafodion
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