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DBMS > Dragonfly vs. Kinetica vs. RethinkDB vs. TerarkDB

System Properties Comparison Dragonfly vs. Kinetica vs. RethinkDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonKinetica  Xexclude from comparisonRethinkDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceFully vectorized database across both GPUs and CPUsDBMS for the Web with a mechanism to push updated query results to applications in realtime.A 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 modelKey-value storeRelational DBMSDocument storeKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.kinetica.comrethinkdb.comgithub.com/­bytedance/­terarkdb
Technical documentationwww.dragonflydb.io/­docsdocs.kinetica.comrethinkdb.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDragonflyDB team and community contributorsKineticaThe Linux Foundation infosince July 2017ByteDance, originally Terark
Initial release2023201220092016
Current release1.0, March 20237.1, August 20212.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen Source infoApache Version 2commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C++C++
Server operating systemsLinuxLinuxLinux
OS X
Windows
Data schemescheme-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyes infostring, binary, float, bool, date, geometryno
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.nononono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C++
Java
JavaScript (Node.js)
Python
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
C++
Java
Server-side scripts infoStored proceduresLuauser defined functionsno
Triggerspublish/subscribe channels provide some trigger functionalityyes infotriggers when inserted values for one or more columns fall within a specified rangeClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlPassword-based authenticationAccess rights for users and roles on table levelyes infousers and table-level permissionsno

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More resources
DragonflyKineticaRethinkDBTerarkDB
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