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DBMS > Hawkular Metrics vs. MarkLogic vs. Quasardb vs. TimesTen vs. Tkrzw

System Properties Comparison Hawkular Metrics vs. MarkLogic vs. Quasardb vs. TimesTen vs. Tkrzw

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonMarkLogic  Xexclude from comparisonQuasardb  Xexclude from comparisonTimesTen  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Operational and transactional Enterprise NoSQL databaseDistributed, high-performance timeseries databaseIn-Memory RDBMS compatible to OracleA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.hawkular.orgwww.marklogic.comquasar.aiwww.oracle.com/­database/­technologies/­related/­timesten.htmldbmx.net/­tkrzw
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.marklogic.comdoc.quasar.ai/­masterdocs.oracle.com/­database/­timesten-18.1
DeveloperCommunity supported by Red HatMarkLogic Corp.quasardbOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Mikio Hirabayashi
Initial release20142001200919982020
Current release11.0, December 20223.14.1, January 202411 Release 2 (11.2.2.8.0)0.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoApache 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 languageJavaC++C++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Data schemeschema-freeschema-free infoSchema can be enforcedschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesno
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.noyesnonono
Secondary indexesnoyesyes infowith tagsyes
SQL infoSupport of SQLnoyes infoSQL92SQL-like query languageyesno
APIs and other access methodsHTTP RESTJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Java
PL/SQL
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptnoPL/SQLno
Triggersyes infovia Hawkular Alertingyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infoconsistent hashingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobswith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyes infoTransient modeyesyes infousing specific database classes
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardno

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Hawkular MetricsMarkLogicQuasardbTimesTenTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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