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DBMS > AgensGraph vs. Kinetica vs. LevelDB vs. Microsoft Azure Table Storage vs. RDF4J

System Properties Comparison AgensGraph vs. Kinetica vs. LevelDB vs. Microsoft Azure Table Storage vs. RDF4J

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLFully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA 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 modelGraph DBMS
Relational DBMS
Relational DBMSKey-value storeWide column storeRDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitebitnine.net/­agensgraphwww.kinetica.comgithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.org
Technical documentationbitnine.net/­documentationdocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentation
DeveloperBitnine Global Inc.KineticaGoogleMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162012201120122004
Current release2.1, December 20187.1, August 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoBSDcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, C++C++Java
Server operating systemsLinux
OS X
Windows
LinuxIllumos
Linux
OS X
Windows
hostedLinux
OS X
Unix
Windows
Data schemedepending on used data modelyesschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnonono
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
Java
JavaScript
Python
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsnonoyes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenonoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic lockingACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes 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.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnoAccess rights based on private key authentication or shared access signaturesno

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More resources
AgensGraphKineticaLevelDBMicrosoft Azure Table StorageRDF4J infoformerly known as Sesame
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