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DBMS > Dragonfly vs. Ehcache vs. IRONdb vs. Newts vs. Valentina Server

System Properties Comparison Dragonfly vs. Ehcache vs. IRONdb vs. Newts vs. Valentina Server

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonEhcache  Xexclude from comparisonIRONdb  Xexclude from comparisonNewts  Xexclude from comparisonValentina Server  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 instanceA widely adopted Java cache with tiered storage optionsA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityTime Series DBMS based on CassandraObject-relational database and reports server
Primary database modelKey-value storeKey-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
Score4.89
Rank#67  Overall
#8  Key-value 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
www.ehcache.orgwww.circonus.com/solutions/time-series-database/opennms.github.io/­newtswww.valentina-db.net
Technical documentationwww.dragonflydb.io/­docswww.ehcache.org/­documentationdocs.circonus.com/irondb/category/getting-startedgithub.com/­OpenNMS/­newts/­wikivalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDragonflyDB team and community contributorsTerracotta Inc, owned by Software AGCirconus LLC.OpenNMS GroupParadigma Software
Initial release20232009201720141999
Current release1.0, March 20233.10.0, March 2022V0.10.20, January 20185.7.5
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC and C++Java
Server operating systemsLinuxAll OS with a Java VMLinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemescheme-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyes infotext, numeric, histogramsyesyes
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 indexesnonononoyes
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJCacheHTTP APIHTTP REST
Java API
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
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresLuanoyes, in Luanoyes
Triggerspublish/subscribe channels provide some trigger functionalityyes infoCache Event Listenersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerAutomatic, metric affinity per nodeSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoby using Terracotta Serverconfigurable replication factor, datacenter awareselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate consistency per node, eventual consistency across nodesEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsyes infosupports JTA and can work as an XA resourcenono
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlPassword-based authenticationnononofine grained access rights according to SQL-standard

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More resources
DragonflyEhcacheIRONdbNewtsValentina Server
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