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

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

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonMonetDB  Xexclude from comparisonRavenDB  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 columnsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA 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
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitewww.kinetica.comwww.monetdb.orgravendb.netgithub.com/­bytedance/­terarkdb
Technical documentationdocs.kinetica.comwww.monetdb.org/­Documentationravendb.net/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDrizzle project, originally started by Brian AkerKineticaMonetDB BVHibernating RhinosByteDance, originally Terark
Initial release20082012200420102016
Current release7.2.4, September 20127.1, August 2021Dec2023 (11.49), December 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoMozilla Public License 2.0Open Source infoAGPL version 3, commercial license availablecommercial inforestricted open source version available
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++CC#C++
Server operating systemsFreeBSD
Linux
OS X
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsSQL-like query language (RQL)no
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
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
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsyes, in SQL, C, Ryesno
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesno
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 methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID, Cluster-wide transaction availableno
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-standardAuthorization levels configured per client per databaseno

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More resources
DrizzleKineticaMonetDBRavenDBTerarkDB
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