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DBMS > Drizzle vs. Kdb+ vs. RethinkDB vs. XTDB

System Properties Comparison Drizzle vs. Kdb+ vs. RethinkDB vs. XTDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKdb+  Xexclude from comparisonRethinkDB  Xexclude from comparisonXTDB infoformerly named Crux  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.High performance Time Series DBMSDBMS for the Web with a mechanism to push updated query results to applications in realtime.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSTime Series DBMSDocument storeDocument store
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.98
Rank#54  Overall
#2  Time Series DBMS
Score3.09
Rank#99  Overall
#19  Document stores
Score0.00
Rank#354  Overall
#50  Document stores
Websitekx.comrethinkdb.comgithub.com/­xtdb/­xtdb
xtdb.com
Technical documentationcode.kx.comrethinkdb.com/­docsxtdb.com/­docs
DeveloperDrizzle project, originally started by Brian AkerKx Systems, a division of First Derivatives plcThe Linux Foundation infosince July 2017Juxt Ltd.
Initial release20082000 infokdb was released 2000, kdb+ in 200320092019
Current release7.2.4, September 20123.6, May 20182.4.1, August 20201.19, September 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infofree 32-bit versionOpen Source infoApache Version 2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++qC++Clojure
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes, extensible-data-notation format
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.yesnono
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query language (q)nolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
JDBC
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Clojure
Java
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.yes infowith viewsClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPrights management via user accountsyes infousers and table-level permissions

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More resources
DrizzleKdb+RethinkDBXTDB infoformerly named Crux
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