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DBMS > Dragonfly vs. IBM Cloudant vs. IRONdb vs. OrigoDB

System Properties Comparison Dragonfly vs. IBM Cloudant vs. IRONdb vs. OrigoDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIRONdb  Xexclude from comparisonOrigoDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it 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 instanceDatabase as a Service offering based on Apache CouchDBA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA fully ACID in-memory object graph database
Primary database modelKey-value storeDocument storeTime Series DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#255  Overall
#38  Key-value stores
Score2.85
Rank#95  Overall
#18  Document stores
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.ibm.com/­products/­cloudantwww.circonus.com/solutions/time-series-database/origodb.com
Technical documentationwww.dragonflydb.io/­docscloud.ibm.com/­docs/­Cloudantdocs.circonus.com/irondb/category/getting-startedorigodb.com/­docs
DeveloperDragonflyDB team and community contributorsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Circonus LLC.Robert Friberg et al
Initial release2023201020172009 infounder the name LiveDB
Current release1.0, March 2023V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangC and C++C#
Server operating systemsLinuxhostedLinuxLinux
Windows
Data schemescheme-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysnoyes infotext, numeric, histogramsUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP/JSON APIHTTP API.NET Client API
HTTP API
LINQ
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
Objective-C
PHP
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Server-side scripts infoStored proceduresLuaView functions (Map-Reduce) in JavaScriptyes, in Luayes
Triggerspublish/subscribe channels provide some trigger functionalityyesnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
configurable replication factor, datacenter awareSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsno infoatomic operations within a document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlPassword-based authenticationAccess rights for users can be defined per databasenoRole based authorization

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More resources
DragonflyIBM CloudantIRONdbOrigoDB
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