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DBMS > Citus vs. Geode vs. Hawkular Metrics vs. RDF4J

System Properties Comparison Citus vs. Geode vs. Hawkular Metrics vs. RDF4J

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGeode  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonRDF4J infoformerly known as Sesame  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.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSKey-value storeTime Series DBMSRDF store
Secondary database modelsDocument store
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
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.citusdata.comgeode.apache.orgwww.hawkular.orgrdf4j.org
Technical documentationdocs.citusdata.comgeode.apache.org/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guiderdf4j.org/­documentation
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Community supported by Red HatSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2010200220142004
Current release8.1, December 20181.1, February 2017
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJavaJava
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
Linux
OS X
Unix
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 indexesyesnonoyes
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 RESTJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
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
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsnoyes
Triggersyesyes infoCache Event Listenersyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on Cassandranone
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 Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definablenono

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More resources
CitusGeodeHawkular MetricsRDF4J infoformerly known as Sesame
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