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DBMS > Drizzle vs. Geode vs. IBM Cloudant vs. Kinetica vs. RDFox

System Properties Comparison Drizzle vs. Geode vs. IBM Cloudant vs. Kinetica vs. RDFox

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeode  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKinetica  Xexclude from comparisonRDFox  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesDatabase as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUsHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSKey-value storeDocument storeRelational DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitegeode.apache.orgwww.ibm.com/­products/­cloudantwww.kinetica.comwww.oxfordsemantic.tech
Technical documentationgeode.apache.org/­docscloud.ibm.com/­docs/­Cloudantdocs.kinetica.comdocs.oxfordsemantic.tech
DeveloperDrizzle project, originally started by Brian AkerOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014KineticaOxford Semantic Technologies
Initial release20082002201020122017
Current release7.2.4, September 20121.1, February 20177.1, August 20216.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaErlangC, C++C++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinuxLinux
macOS
Windows
Data schemeyesschema-freeschema-freeyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query language (OQL)noSQL-like DML and DDL statementsno
APIs and other access methodsJDBCJava Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C++
Java
PHP
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
C
Java
Server-side scripts infoStored proceduresnouser defined functionsView functions (Map-Reduce) in JavaScriptuser defined functions
Triggersno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replication
Source-replica replication
Source-replica replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeno infoatomic operations within a document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights per client and object definableAccess rights for users can be defined per databaseAccess rights for users and roles on table levelRoles, resources, and access types

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More resources
DrizzleGeodeIBM CloudantKineticaRDFox
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