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DBMS > Brytlyt vs. Kinetica vs. Lovefield vs. Percona Server for MongoDB vs. RDF4J

System Properties Comparison Brytlyt vs. Kinetica vs. Lovefield vs. Percona Server for MongoDB vs. RDF4J

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonKinetica  Xexclude from comparisonLovefield  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFully vectorized database across both GPUs and CPUsEmbeddable relational database for web apps written in pure JavaScriptA drop-in replacement for MongoDB Community Edition with enterprise-grade features.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeRDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitebrytlyt.iowww.kinetica.comgoogle.github.io/­lovefieldwww.percona.com/­mongodb/­software/­percona-server-for-mongodbrdf4j.org
Technical documentationdocs.brytlyt.iodocs.kinetica.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.percona.com/­percona-distribution-for-mongodbrdf4j.org/­documentation
DeveloperBrytlytKineticaGooglePerconaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162012201420152004
Current release5.0, August 20237.1, August 20212.1.12, February 20173.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL Version 2Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC, C++JavaScriptC++Java
Server operating systemsLinux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxLinux
OS X
Unix
Windows
Data schemeyesyesyesschema-freeyes infoRDF Schemas
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder patternnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
JavaScriptActionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functionsnoJavaScriptyes
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes 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 infoGPU vRAM or System RAMyes infousing MemoryDByes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnoAccess rights for users and rolesno

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More resources
BrytlytKineticaLovefieldPercona Server for MongoDBRDF4J infoformerly known as Sesame
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