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DBMS > Drizzle vs. Kinetica vs. MonetDB vs. OrientDB vs. SwayDB

System Properties Comparison Drizzle vs. Kinetica vs. MonetDB vs. OrientDB vs. SwayDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonMonetDB  Xexclude from comparisonOrientDB  Xexclude from comparisonSwayDB  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.Fully vectorized database across both GPUs and CPUsA relational database management system that stores data in columnsMulti-model DBMS (Document, Graph, Key/Value)An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Key-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.kinetica.comwww.monetdb.orgorientdb.orgswaydb.simer.au
Technical documentationdocs.kinetica.comwww.monetdb.org/­Documentationwww.orientdb.com/­docs/­last/­index.html
DeveloperDrizzle project, originally started by Brian AkerKineticaMonetDB BVOrientDB LTD; CallidusCloud; SAPSimer Plaha
Initial release20082012200420102018
Current release7.2.4, September 20127.1, August 2021Dec2023 (11.49), December 20233.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoMozilla Public License 2.0Open Source infoApache version 2Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++CJavaScala
Server operating systemsFreeBSD
Linux
OS X
LinuxFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsSQL-like query language, no joinsno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes, in SQL, C, RJava, Javascriptno
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeyesHooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnone infoSource-replica replication available in experimental statusMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurableno

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More resources
DrizzleKineticaMonetDBOrientDBSwayDB
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