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DBMS > Citus vs. Geode vs. Hawkular Metrics vs. RDFox

System Properties Comparison Citus vs. Geode vs. Hawkular Metrics vs. RDFox

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGeode  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.High performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSKey-value storeTime Series DBMSGraph DBMS
RDF store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.citusdata.comgeode.apache.orgwww.hawkular.orgwww.oxfordsemantic.tech
Technical documentationdocs.citusdata.comgeode.apache.org/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.oxfordsemantic.tech
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Community supported by Red HatOxford Semantic Technologies
Initial release2010200220142017
Current release8.1, December 20181.1, February 20176.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0commercial
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 languageCJavaJavaC++
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeyes infoRDF schemas
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 indexesyesnono
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query language (OQL)nono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java Client API
Memcached protocol
RESTful HTTP API
HTTP RESTRESTful HTTP API
SPARQL 1.1
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
Python
Ruby
C
Java
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsno
Triggersyesyes infoCache Event Listenersyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationselectable replication factor infobased on Cassandrareplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definablenoRoles, resources, and access types

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More resources
CitusGeodeHawkular MetricsRDFox
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