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DBMS > Drizzle vs. Kinetica vs. MonetDB vs. Realm vs. TerarkDB

System Properties Comparison Drizzle vs. Kinetica vs. MonetDB vs. Realm vs. TerarkDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonMonetDB  Xexclude from comparisonRealm  Xexclude from comparisonTerarkDB  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 columnsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeKey-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
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.kinetica.comwww.monetdb.orgrealm.iogithub.com/­bytedance/­terarkdb
Technical documentationdocs.kinetica.comwww.monetdb.org/­Documentationrealm.io/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDrizzle project, originally started by Brian AkerKineticaMonetDB BVRealm, acquired by MongoDB in May 2019ByteDance, originally Terark
Initial release20082012200420142016
Current release7.2.4, September 20127.1, August 2021Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoMozilla Public License 2.0Open Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++CC++
Server operating systemsFreeBSD
Linux
OS X
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyesyesschema-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 extensionsnono
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
C++ API
Java 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
Java infowith Android only
Objective-C
React Native
Swift
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsyes, in SQL, C, Rno inforuns within the applications so server-side scripts are unnecessaryno
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnone infoSource-replica replication available in experimental statusnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 infoIn-Memory realmyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standardyesno

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More resources
DrizzleKineticaMonetDBRealmTerarkDB
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