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DBMS > Altibase vs. GBase vs. MarkLogic vs. RDF4J vs. Splice Machine

System Properties Comparison Altibase vs. GBase vs. MarkLogic vs. RDF4J vs. Splice Machine

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonGBase  Xexclude from comparisonMarkLogic  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Operational and transactional Enterprise NoSQL databaseRDF4J 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 modelRelational DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
RDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitealtibase.comwww.gbase.cnwww.progress.com/­marklogicrdf4j.orgsplicemachine.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.progress.com/­marklogic/­documentationrdf4j.org/­documentationsplicemachine.com/­how-it-works
DeveloperAltibaseGeneral Data Technology Co., Ltd.MarkLogic Corp.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Splice Machine
Initial release19992004200120042014
Current releasev7.3, 2023, August 2023GBase 8a, GBase 8s, GBase 8c11.0, December 20223.1, March 2021
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialcommercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, PythonC++JavaJava
Server operating systemsAIX
HP-UX
Linux
LinuxLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-free infoSchema can be enforcedyes 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.noyesyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92Standard with numerous extensionsyes infoSQL92noyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
ADO.NET
C API
JDBC
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
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++
Java
C#C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsuser defined functionsyes infovia XQuery or JavaScriptyesyes infoJava
Triggersyesyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transactionACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.yesyes, with Range Indexesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesRole-based access control at the document and subdocument levelsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
AltibaseGBaseMarkLogicRDF4J infoformerly known as SesameSplice Machine
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