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DBMS > AllegroGraph vs. RDF4J vs. Riak KV vs. Splice Machine vs. SwayDB

System Properties Comparison AllegroGraph vs. RDF4J vs. Riak KV vs. Splice Machine vs. SwayDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRiak KV  Xexclude from comparisonSplice Machine  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Distributed, fault tolerant key-value storeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
RDF storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteallegrograph.comrdf4j.orgsplicemachine.comswaydb.simer.au
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlrdf4j.org/­documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latestsplicemachine.com/­how-it-works
DeveloperFranz Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.OpenSource, formerly Basho TechnologiesSplice MachineSimer Plaha
Initial release20042004200920142018
Current release8.0, December 20233.2.0, December 20223.1, March 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache version 2, commercial enterprise editionOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangJavaScala
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Linux
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyes infoRDF Schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 infobulk load of XML files possiblenono
Secondary indexesyesyesrestrictedyesno
SQL infoSupport of SQLSPARQL is used as query languagenonoyesno
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Native Erlang Interface
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Java
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispyesErlangyes infoJavano
Triggersyesyesyes infopre-commit hooks and post-commit hooksyesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneSharding infono "single point of failure"Shared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneselectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storedyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usednoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
AllegroGraphRDF4J infoformerly known as SesameRiak KVSplice MachineSwayDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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