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DBMS > GigaSpaces vs. HBase vs. jBASE vs. Splice Machine vs. Virtuoso

System Properties Comparison GigaSpaces vs. HBase vs. jBASE vs. Splice Machine vs. Virtuoso

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHBase  Xexclude from comparisonjBASE  Xexclude from comparisonSplice Machine  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWide-column store based on Apache Hadoop and on concepts of BigTableA robust multi-value DBMS comprising development tools and middlewareOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Wide column storeMultivalue DBMSRelational DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score4.26
Rank#78  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#42  Relational DBMS
#2  RDF stores
#9  Search engines
Websitewww.gigaspaces.comhbase.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasesplicemachine.comvirtuoso.openlinksw.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlhbase.apache.org/­book.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9splicemachine.com/­how-it-worksdocs.openlinksw.com/­virtuoso
DeveloperGigaspaces TechnologiesApache Software Foundation infoApache top-level project, originally developed by PowersetRocket Software (formerly Zumasys)Splice MachineOpenLink Software
Initial release20002008199120141998
Current release15.5, September 20202.3.4, January 20215.73.1, March 20217.2.11, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache version 2commercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaJavaC
Server operating systemsLinux
macOS
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
AIX
Linux
Windows
Linux
OS X
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeyesyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROoptionalyesyes
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 infoXML can be used for describing objects metadatanoyesyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoEmbedded SQL for jBASE in BASICyesyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
Native Spark Datasource
ODBC
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languages.Net
C++
Java
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Basic
Jabbascript
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javayesyes infoJavayes infoVirtuoso PL
Triggersyes, event driven architectureyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
yesMulti-source replication
Source-replica replication
Chain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesnoYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights can be defined down to the item levelAccess rights for users, groups and roles according to SQL-standardFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
GigaSpacesHBasejBASESplice MachineVirtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesPerformance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosUsed for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersBroad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsLargest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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GigaSpacesHBasejBASESplice MachineVirtuoso
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