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DBMS > Dragonfly vs. Drizzle vs. FatDB vs. GeoSpock vs. JaguarDB

System Properties Comparison Dragonfly vs. Drizzle vs. FatDB vs. GeoSpock vs. JaguarDB

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonDrizzle  Xexclude from comparisonFatDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonJaguarDB  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.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.GeoSpock seems to be discontinued. Therefore it will be 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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Spatial and temporal data processing engine for extreme data scalePerformant, highly scalable DBMS for AI and IoT applications
Primary database modelKey-value storeRelational DBMSDocument store
Key-value store
Relational DBMSKey-value store
Vector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
geospock.comwww.jaguardb.com
Technical documentationwww.dragonflydb.io/­docswww.jaguardb.com/­support.html
DeveloperDragonflyDB team and community contributorsDrizzle project, originally started by Brian AkerFatCloudGeoSpockDataJaguar, Inc.
Initial release2023200820122015
Current release1.0, March 20237.2.4, September 20122.0, September 20193.3 July 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoGNU GPLcommercialcommercialOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C#Java, JavascriptC++ infothe server part. Clients available in other languages
Server operating systemsLinuxFreeBSD
Linux
OS X
WindowshostedLinux
Data schemescheme-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyesyes
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 indexesnoyesyestemporal, categoricalyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsno infoVia inetgration in SQL ServerANSI SQL for query only (using Presto)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBCJDBC
ODBC
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++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresLuanoyes infovia applicationsnono
Triggerspublish/subscribe channels provide some trigger functionalityno infohooks for callbacks inside the server can be used.yes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDnonono
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlPassword-based authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoCan implement custom security layer via applicationsAccess rights for users can be defined per tablerights management via user accounts

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More resources
DragonflyDrizzleFatDBGeoSpockJaguarDB
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