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DBMS > Amazon Redshift vs. gStore vs. Kinetica vs. Linter

System Properties Comparison Amazon Redshift vs. gStore vs. Kinetica vs. Linter

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisongStore  Xexclude from comparisonKinetica  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA native Graph DBMS to store and maintain very large RDF datasets.Fully vectorized database across both GPUs and CPUsRDBMS for high security requirements
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websiteaws.amazon.com/­redshiften.gstore.cnwww.kinetica.comlinter.ru
Technical documentationdocs.aws.amazon.com/­redshiften.gstore.cn/­#/­enDocsdocs.kinetica.com
DeveloperAmazon (based on PostgreSQL)Kineticarelex.ru
Initial release2012201620121990
Current release1.2, November 20237.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C, C++C and C++
Server operating systemshostedLinuxLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyesyes
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.nononono
Secondary indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
HTTP API
SPARQL 1.1
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
JavaScript (Node.js)
PHP
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesuser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissions, Role-Based Access Control (RBAC) supportedAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
Amazon RedshiftgStoreKineticaLinter
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