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DBMS > Dragonfly vs. Drizzle vs. KeyDB vs. WakandaDB

System Properties Comparison Dragonfly vs. Drizzle vs. KeyDB vs. WakandaDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonDrizzle  Xexclude from comparisonKeyDB  Xexclude from comparisonWakandaDB  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.
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeRelational DBMSKey-value storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­Snapchat/­KeyDB
keydb.dev
wakanda.github.io
Technical documentationwww.dragonflydb.io/­docsdocs.keydb.devwakanda.github.io/­doc
DeveloperDragonflyDB team and community contributorsDrizzle project, originally started by Brian AkerEQ Alpha Technology Ltd.Wakanda SAS
Initial release2023200820192012
Current release1.0, March 20237.2.4, September 20122.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoGNU GPLOpen Source infoBSD-3Open 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++, JavaScript
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxLinux
OS X
Windows
Data schemescheme-freeyesschema-freeyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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 indexesnoyesyes infoby using the Redis Search module
SQL infoSupport of SQLnoyes infowith proprietary extensionsnono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBCProprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP 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
C++
Java
PHP
C
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
JavaScript
Server-side scripts infoStored proceduresLuanoLuayes
Triggerspublish/subscribe channels provide some trigger functionalityno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlPassword-based authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPsimple password-based access control and ACLyes

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More resources
DragonflyDrizzleKeyDBWakandaDB
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