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DBMS > KeyDB vs. Kinetica vs. RethinkDB vs. WakandaDB

System Properties Comparison KeyDB vs. Kinetica vs. RethinkDB vs. WakandaDB

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Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonKinetica  Xexclude from comparisonRethinkDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsFully vectorized database across both GPUs and CPUsDBMS for the Web with a mechanism to push updated query results to applications in realtime.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeRelational DBMSDocument storeObject oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.63
Rank#232  Overall
#32  Key-value stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score2.58
Rank#105  Overall
#20  Document stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­Snapchat/­KeyDB
keydb.dev
www.kinetica.comrethinkdb.comwakanda.github.io
Technical documentationdocs.keydb.devdocs.kinetica.comrethinkdb.com/­docswakanda.github.io/­doc
DeveloperEQ Alpha Technology Ltd.KineticaThe Linux Foundation infosince July 2017Wakanda SAS
Initial release2019201220092012
Current release7.1, August 20212.4.1, August 20202.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSD-3commercialOpen Source infoApache Version 2Open Source infoAGPLv3, extended commercial license 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++, JavaScript
Server operating systemsLinuxLinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes infostring, binary, float, bool, date, geometryyes
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 indexesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
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
JavaScript
Server-side scripts infoStored proceduresLuauser defined functionsyes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsnoAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMnono
User concepts infoAccess controlsimple password-based access control and ACLAccess rights for users and roles on table levelyes infousers and table-level permissionsyes

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More resources
KeyDBKineticaRethinkDBWakandaDB
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