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DBMS > Dragonfly vs. EJDB vs. etcd vs. Hazelcast vs. UniData,UniVerse

System Properties Comparison Dragonfly vs. EJDB vs. etcd vs. Hazelcast vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonEJDB  Xexclude from comparisonetcd  Xexclude from comparisonHazelcast  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A distributed reliable key-value storeA widely adopted in-memory data gridMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeDocument storeKey-value storeKey-value storeMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
github.com/­Softmotions/­ejdbetcd.io
github.com/­etcd-io/­etcd
hazelcast.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.dragonflydb.io/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hazelcast.org/­imdg/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperDragonflyDB team and community contributorsSoftmotionsHazelcastRocket Software
Initial release2023201220081985
Current release1.0, March 20233.4, August 20195.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoGPLv2Open Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercial
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++CGoJavaC
Server operating systemsLinuxserver-lessFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Data schemescheme-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyes infostring, integer, double, bool, date, object_idnoyesoptional
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.nonoyes infothe object must implement a serialization strategy
Secondary indexesnononoyesyes
SQL infoSupport of SQLnononoSQL-like query languageyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization Protocolin-process shared librarygRPC
JSON over HTTP
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
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
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresLuanonoyes infoEvent Listeners, Executor Servicesyes
Triggerspublish/subscribe channels provide some trigger functionalitynoyes, watching key changesyes infoEventsyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnonoone or two-phase-commit; repeatable reads; read commitedACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryes infoRead/Write Lockingyesyesyes
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.yesnoyes
User concepts infoAccess controlPassword-based authenticationnonoRole-based access controlAccess rights according to SQL-standard and operating system based

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DragonflyEJDBetcdHazelcastUniData,UniVerse
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