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DBMS > Dragonfly vs. H2 vs. Hazelcast vs. Solr

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

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonH2  Xexclude from comparisonHazelcast  Xexclude from comparisonSolr  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 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 gridA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeRelational DBMSKey-value storeSearch engine
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.h2database.comhazelcast.comsolr.apache.org
Technical documentationwww.dragonflydb.io/­docswww.h2database.com/­html/­main.htmlhazelcast.org/­imdg/­docssolr.apache.org/­resources.html
DeveloperDragonflyDB team and community contributorsThomas MuellerHazelcastApache Software Foundation
Initial release2023200520082006
Current release1.0, March 20232.2.220, July 20235.3.6, November 20239.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaJava
Server operating systemsLinuxAll OS with a Java VMAll OS with a Java VMAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemescheme-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes infosupports customizable data types and automatic typing
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 strategyyes
Secondary indexesnoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP/JSON 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
Java.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresLuaJava Stored Procedures and User-Defined Functionsyes infoEvent Listeners, Executor ServicesJava plugins
Triggerspublish/subscribe channels provide some trigger functionalityyesyes infoEventsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoReplicated Mapyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDone or two-phase-commit; repeatable reads; read commitedoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryes, multi-version concurrency control (MVCC)yesyes
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 access rights according to SQL-standardRole-based access controlyes

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DragonflyH2HazelcastSolr
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