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DBMS > Citus vs. Dragonfly vs. H2 vs. Hazelcast

System Properties Comparison Citus vs. Dragonfly vs. H2 vs. Hazelcast

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDragonfly  Xexclude from comparisonH2  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceFull-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 modelRelational DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsDocument storeSpatial DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitewww.citusdata.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.h2database.comhazelcast.com
Technical documentationdocs.citusdata.comwww.dragonflydb.io/­docswww.h2database.com/­html/­main.htmlhazelcast.org/­imdg/­docs
DeveloperDragonflyDB team and community contributorsThomas MuellerHazelcast
Initial release2010202320052008
Current release8.1, December 20181.0, March 20232.2.220, July 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoBSL 1.1Open 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 languageCC++JavaJava
Server operating systemsLinuxLinuxAll OS with a Java VMAll OS with a Java VM
Data schemeyesscheme-freeyesschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.yes infospecific XML type available, but no XML query functionalitynonoyes infothe object must implement a serialization strategy
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyesSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
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
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.LuaJava Stored Procedures and User-Defined Functionsyes infoEvent Listeners, Executor Services
Triggersyespublish/subscribe channels provide some trigger functionalityyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationWith 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 systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes, 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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPassword-based authenticationfine grained access rights according to SQL-standardRole-based access control

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More resources
CitusDragonflyH2Hazelcast
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