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DBMS > AgensGraph vs. GigaSpaces vs. Ingres vs. RDF4J vs. VelocityDB

System Properties Comparison AgensGraph vs. GigaSpaces vs. Ingres vs. RDF4J vs. VelocityDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGigaSpaces  Xexclude from comparisonIngres  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWell established RDBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRDF storeGraph DBMS
Object oriented DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websitebitnine.net/­agensgraphwww.gigaspaces.comwww.actian.com/­databases/­ingresrdf4j.orgvelocitydb.com
Technical documentationbitnine.net/­documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.actian.com/­ingresrdf4j.org/­documentationvelocitydb.com/­UserGuide
DeveloperBitnine Global Inc.Gigaspaces TechnologiesActian CorporationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.VelocityDB Inc
Initial release201620001974 infooriginally developed at University Berkely in early 1970s20042011
Current release2.1, December 201815.5, September 202011.2, May 20227.x
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialOpen 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 languageCJava, C++, .NetCJavaC#
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Any that supports .NET
Data schemedepending on used data modelschema-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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-99 for query and DML statementsyesnono
APIs and other access methodsCypher Query Language
JDBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
.Net
Supported programming languagesC
Java
JavaScript
Python
.Net
C++
Java
Python
Scala
Java
PHP
Python
.Net
Server-side scripts infoStored proceduresyesyesyesyesno
Triggersnoyes, event driven architectureyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Ingres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standardnoBased on Windows Authentication

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More resources
AgensGraphGigaSpacesIngresRDF4J infoformerly known as SesameVelocityDB
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