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DBMS > Citus vs. DataFS vs. Hawkular Metrics vs. MonetDB

System Properties Comparison Citus vs. DataFS vs. Hawkular Metrics vs. MonetDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDataFS  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Hawkular 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 columns
Primary database modelRelational DBMSObject oriented DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeGraph DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitewww.citusdata.comnewdatabase.comwww.hawkular.orgwww.monetdb.org
Technical documentationdocs.citusdata.comdev.mobiland.com/­Overview.xspwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.monetdb.org/­Documentation
DeveloperMobiland AGCommunity supported by Red HatMonetDB BV
Initial release2010201820142004
Current release8.1, December 20181.1.263, October 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC
Server operating systemsLinuxWindowsLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnonoyes infoSQL 2003 with some extensions
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
Proprietary client DLL
WinRT client
HTTP RESTJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
VB.Net
Go
Java
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes, in SQL, C, R
Triggersyesno, except callback-events from server when changes happenedyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemSharding infobased on CassandraSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor infobased on Cassandranone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardWindows-Profilenofine grained access rights according to SQL-standard

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More resources
CitusDataFSHawkular MetricsMonetDB
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