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DBMS > Hawkular Metrics vs. MonetDB vs. Riak KV vs. Trafodion

System Properties Comparison Hawkular Metrics vs. MonetDB vs. Riak KV vs. Trafodion

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonMonetDB  Xexclude from comparisonRiak KV  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.A relational database management system that stores data in columnsDistributed, fault tolerant key-value storeTransactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.hawkular.orgwww.monetdb.orgtrafodion.apache.org
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.monetdb.org/­Documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latesttrafodion.apache.org/­documentation.html
DeveloperCommunity supported by Red HatMonetDB BVOpenSource, formerly Basho TechnologiesApache Software Foundation, originally developed by HP
Initial release2014200420092014
Current releaseDec2023 (11.49), December 20233.2.0, December 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCErlangC++, Java
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Linux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesnoyesrestrictedyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsnoyes
APIs and other access methodsHTTP RESTJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP API
Native Erlang Interface
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes, in SQL, C, RErlangJava Stored Procedures
Triggersyes infovia Hawkular Alertingyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding via remote tablesSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranone infoSource-replica replication available in experimental statusselectable replication factoryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes 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
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
Hawkular MetricsMonetDBRiak KVTrafodion
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