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DBMS > Alibaba Cloud Table Store vs. Brytlyt vs. Kinetica vs. Lovefield vs. RDF4J

System Properties Comparison Alibaba Cloud Table Store vs. Brytlyt vs. Kinetica vs. Lovefield vs. RDF4J

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonBrytlyt  Xexclude from comparisonKinetica  Xexclude from comparisonLovefield  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessScalable 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 JavaScriptRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelWide column storeRelational DBMSRelational DBMSRelational DBMSRDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.alibabacloud.com/­product/­table-storebrytlyt.iowww.kinetica.comgoogle.github.io/­lovefieldrdf4j.org
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.brytlyt.iodocs.kinetica.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdrdf4j.org/­documentation
DeveloperAlibabaBrytlytKineticaGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162016201220142004
Current release5.0, August 20237.1, August 20212.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC, C++JavaScriptJava
Server operating systemshostedLinux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Unix
Windows
Data schemeschema-freeyesyesyesyes 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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
JavaScriptJava
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLuser defined functionsnoyes
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes 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 RAMyes infousing MemoryDB
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnono

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More resources
Alibaba Cloud Table StoreBrytlytKineticaLovefieldRDF4J infoformerly known as Sesame
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