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DBMS > Amazon Redshift vs. Blazegraph vs. MonetDB vs. Valentina Server

System Properties Comparison Amazon Redshift vs. Blazegraph vs. MonetDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBlazegraph  Xexclude from comparisonMonetDB  Xexclude from comparisonValentina Server  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionLarge scale data warehouse service for use with business intelligence toolsHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A relational database management system that stores data in columnsObject-relational database and reports server
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.01
Rank#30  Overall
#17  Relational DBMS
Score0.81
Rank#182  Overall
#15  Graph DBMS
#8  RDF stores
Score1.96
Rank#125  Overall
#62  Relational DBMS
Score0.28
Rank#265  Overall
#123  Relational DBMS
Websiteaws.amazon.com/­redshiftblazegraph.comwww.monetdb.orgwww.valentina-db.net
Technical documentationdocs.aws.amazon.com/­redshiftwiki.blazegraph.comwww.monetdb.org/­Documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazon (based on PostgreSQL)BlazegraphMonetDB BVParadigma Software
Initial release2012200620041999
Current release2.1.5, March 2019Jun2020-SP1, July 20205.7.5
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availableOpen Source infoMozilla Public License 2.0commercial
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 languageCJavaC
Server operating systemshostedLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyes
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.no
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSPARQL is used as query languageyes infoSQL 2003 with some extensionsyes
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesyes, in SQL, C, Ryes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoSource-replica replication available in experimental status
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 configuration
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes infoRelationships in Graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon RedshiftBlazegraphMonetDBValentina Server
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Blazegraph 2.1.4 Release
29 August 2016

Blazegraph 2.1.2 Release
18 June 2016

Blazegraph 2.1.1 Release!
9 June 2016

Blazegraph 2.1.0 Release!
8 April 2016

Blazegraph 2.0.0 Release!
22 December 2015

Taking MonetDB/e for a taxi ride
12 July 2020

The MonetDB/e Python interface for data analytics
10 July 2020

MonetDB/e, a mature embedded SQL DBMS
8 July 2020

Doctor, what’s happening with my query in the MonetDB kernel?
15 June 2020

From automake to CMake: a facelift for our build infrastructure
9 June 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftBlazegraphMonetDBValentina Server
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