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DBMS > Dragonfly vs. Drizzle vs. PouchDB vs. SiriDB vs. Valentina Server

System Properties Comparison Dragonfly vs. Drizzle vs. PouchDB vs. SiriDB vs. Valentina Server

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonDrizzle  Xexclude from comparisonPouchDB  Xexclude from comparisonSiriDB  Xexclude from comparisonValentina Server  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.JavaScript DBMS with an API inspired by CouchDBOpen Source Time Series DBMSObject-relational database and reports server
Primary database modelKey-value storeRelational DBMSDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
pouchdb.comsiridb.comwww.valentina-db.net
Technical documentationwww.dragonflydb.io/­docspouchdb.com/­guidesdocs.siridb.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDragonflyDB team and community contributorsDrizzle project, originally started by Brian AkerApache Software FoundationCesbitParadigma Software
Initial release20232008201220171999
Current release1.0, March 20237.2.4, September 20127.1.1, June 20195.7.5
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoGNU GPLOpen SourceOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaScriptC
Server operating systemsLinuxFreeBSD
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X
Windows
Data schemescheme-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesnoyes infoNumeric datayes
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 infovia viewsyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnonoyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBCHTTP REST infoonly for PouchDB Server
JavaScript API
HTTP APIODBC
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
JavaScriptC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresLuanoView functions in JavaScriptnoyes
Triggerspublish/subscribe channels provide some trigger functionalityno infohooks for callbacks inside the server can be used.yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlPassword-based authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPnosimple rights management via user accountsfine grained access rights according to SQL-standard

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More resources
DragonflyDrizzlePouchDBSiriDBValentina Server
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