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DBMS > atoti vs. Linter vs. RDF4J

System Properties Comparison atoti vs. Linter vs. RDF4J

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonLinter  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.RDBMS for high security requirementsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelObject oriented DBMSRelational DBMSRDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.92
Rank#234  Overall
#11  Object oriented DBMS
Score0.30
Rank#324  Overall
#146  Relational DBMS
Score1.02
Rank#226  Overall
#9  RDF stores
Websiteatoti.iolinter.rurdf4j.org
Technical documentationdocs.atoti.iordf4j.org/­documentation
DeveloperActiveViamrelex.ruSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release19902004
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Unix
Windows
Data schemeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesno
APIs and other access methodsADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Java
PHP
Python
Server-side scripts infoStored proceduresPythonyes infoproprietary syntax with the possibility to convert from PL/SQLyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
atotiLinterRDF4J infoformerly known as Sesame
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