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DBMS > Dragonfly vs. IRONdb vs. Quasardb vs. Trafodion

System Properties Comparison Dragonfly vs. IRONdb vs. Quasardb vs. Trafodion

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonIRONdb  Xexclude from comparisonQuasardb  Xexclude from comparisonTrafodion  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Apache Trafodion has been retired in 2021. 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 instanceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDistributed, high-performance timeseries databaseTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeTime Series DBMSTime 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
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.circonus.com/solutions/time-series-database/quasar.aitrafodion.apache.org
Technical documentationwww.dragonflydb.io/­docsdocs.circonus.com/irondb/category/getting-starteddoc.quasar.ai/­mastertrafodion.apache.org/­documentation.html
DeveloperDragonflyDB team and community contributorsCirconus LLC.quasardbApache Software Foundation, originally developed by HP
Initial release2023201720092014
Current release1.0, March 2023V0.10.20, January 20183.14.1, January 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++C++, Java
Server operating systemsLinuxLinuxBSD
Linux
OS X
Windows
Linux
Data schemescheme-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyes infotext, numeric, histogramsyes infointeger and binaryyes
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 indexesnonoyes infowith tagsyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query languageyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolHTTP APIHTTP APIADO.NET
JDBC
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
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresLuayes, in LuanoJava Stored Procedures
Triggerspublish/subscribe channels provide some trigger functionalitynonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationconfigurable replication factor, datacenter awareSource-replica replication with selectable replication factoryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeno
User concepts infoAccess controlPassword-based authenticationnoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
DragonflyIRONdbQuasardbTrafodion
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