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DBMS > Dragonfly vs. Hive vs. RDF4J vs. Splice Machine

System Properties Comparison Dragonfly vs. Hive vs. RDF4J vs. Splice Machine

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHive  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSplice Machine  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 instancedata warehouse software for querying and managing large distributed datasets, built on HadoopRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
hive.apache.orgrdf4j.orgsplicemachine.com
Technical documentationwww.dragonflydb.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homerdf4j.org/­documentationsplicemachine.com/­how-it-works
DeveloperDragonflyDB team and community contributorsApache Software Foundation infoinitially developed by FacebookSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Splice Machine
Initial release2023201220042014
Current release1.0, March 20233.1.3, April 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache Version 2Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoAGPL 3.0, commercial license available
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 VMLinux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemescheme-freeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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.no
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
Thrift
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
Native Spark Datasource
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
C++
Java
PHP
Python
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresLuayes infouser defined functions and integration of map-reduceyesyes infoJava
Triggerspublish/subscribe channels provide some trigger functionalitynoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlPassword-based authenticationAccess rights for users, groups and rolesnoAccess rights for users, groups and roles according to SQL-standard

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More resources
DragonflyHiveRDF4J infoformerly known as SesameSplice Machine
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