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DBMS > EXASOL vs. GigaSpaces vs. JanusGraph vs. RDF4J vs. Valentina Server

System Properties Comparison EXASOL vs. GigaSpaces vs. JanusGraph vs. RDF4J vs. Valentina Server

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGigaSpaces  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Object-relational database and reports server
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMSRDF storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.exasol.comwww.gigaspaces.comjanusgraph.orgrdf4j.orgwww.valentina-db.net
Technical documentationwww.exasol.com/­resourcesdocs.gigaspaces.com/­latest/­landing.htmldocs.janusgraph.orgrdf4j.org/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperExasolGigaspaces TechnologiesLinux Foundation; originally developed as Titan by AureliusSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Paradigma Software
Initial release20002000201720041999
Current release15.5, September 20200.6.3, February 20235.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaJava
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nono infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-99 for query and DML statementsnonoyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ODBC
Supported programming languagesJava
Lua
Python
R
.Net
C++
Java
Python
Scala
Clojure
Java
Python
Java
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsyesyesyesyes
Triggersyesyes, event driven architectureyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes infoMap-Reduce pattern can be built with XAP task executorsyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes 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.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardRole-based access controlUser authentification and security via Rexster Graph Servernofine grained access rights according to SQL-standard

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More resources
EXASOLGigaSpacesJanusGraph infosuccessor of TitanRDF4J infoformerly known as SesameValentina Server
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