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DBMS > Dragonfly vs. Faircom EDGE vs. H2 vs. Hazelcast

System Properties Comparison Dragonfly vs. Faircom EDGE vs. H2 vs. Hazelcast

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonH2  Xexclude from comparisonHazelcast  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 instanceFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A widely adopted in-memory data grid
Primary database modelKey-value storeKey-value store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMSDocument 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
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.faircom.com/­products/­faircom-edgewww.h2database.comhazelcast.com
Technical documentationwww.dragonflydb.io/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.h2database.com/­html/­main.htmlhazelcast.org/­imdg/­docs
DeveloperDragonflyDB team and community contributorsFairCom CorporationThomas MuellerHazelcast
Initial release2023197920052008
Current release1.0, March 2023V3, October 20202.2.220, July 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercial infoRestricted, free version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ANSI C, C++JavaJava
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMAll OS with a Java VM
Data schemescheme-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyes, ANSI Standard SQL Typesyesyes
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.noyesnoyes infothe object must implement a serialization strategy
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesyesSQL-like query language
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP 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
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresLuayes info.Net, JavaScript, C/C++Java Stored Procedures and User-Defined Functionsyes infoEvent Listeners, Executor Services
Triggerspublish/subscribe channels provide some trigger functionalityyesyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoSynchronous and asynchronous realtime replication based on transaction logsWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlPassword-based authenticationFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardRole-based access control

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More resources
DragonflyFaircom EDGE infoformerly c-treeEDGEH2Hazelcast
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