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DBMS > dBASE vs. Grakn vs. Microsoft Azure Table Storage vs. RDF4J

System Properties Comparison dBASE vs. Grakn vs. Microsoft Azure Table Storage vs. RDF4J

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Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGrakn  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptiondBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.A Wide Column Store for rapid development using massive semi-structured datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Wide column storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.20
Rank#37  Overall
#23  Relational DBMS
Score0.27
Rank#249  Overall
#19  Graph DBMS
#116  Relational DBMS
Score4.86
Rank#65  Overall
#5  Wide column stores
Score0.39
Rank#223  Overall
#11  RDF stores
Websitewww.dbase.comgrakn.aiazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.org
Technical documentationwww.dbase.com/­support/­knowledgebasedev.grakn.ai/­docsdocs.rdf4j.org
DeveloperAsthon TateGrakn LabsMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release1979201620122004
Current releasedBASE PLUS 11, December 20161.6.2, January 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnononono
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.console (shell)
gRPC protocol
Workbase (visualisation software)
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesdBase proprietary IDEAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using CassandraSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication infoby using Cassandrayes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACIDoptimistic lockingACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nono
User concepts infoAccess controlAccess rights for users and rolesyes infoat REST API level; other APIs in progressAccess rights based on private key authentication or shared access signaturesno
More information provided by the system vendor
dBASEGraknMicrosoft Azure Table StorageRDF4J infoformerly known as Sesame
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
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