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DBMS > Amazon Redshift vs. Blazegraph vs. Hyprcubd vs. MonetDB

System Properties Comparison Amazon Redshift vs. Blazegraph vs. Hyprcubd vs. MonetDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBlazegraph  Xexclude from comparisonHyprcubd  Xexclude from comparisonMonetDB  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.Serverless Time Series DBMSA relational database management system that stores data in columns
Primary database modelRelational DBMSGraph DBMS
RDF store
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.41
Rank#29  Overall
#17  Relational DBMS
Score0.70
Rank#190  Overall
#15  Graph DBMS
#8  RDF stores
Score0.00
Rank#337  Overall
#30  Time Series DBMS
Score1.89
Rank#124  Overall
#61  Relational DBMS
Websiteaws.amazon.com/­redshiftblazegraph.comwww.hyprcubd.comwww.monetdb.org
Technical documentationdocs.aws.amazon.com/­redshiftwiki.blazegraph.comwww.monetdb.org/­Documentation
DeveloperAmazon (based on PostgreSQL)BlazegraphHyprcubd, Inc.MonetDB BV
Initial release201220062004
Current release2.1.5, March 2019Jun2020, June 2020
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaGoC
Server operating systemshostedLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyes infotime, int, uint, float, stringyes
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.nono
Secondary indexesrestrictedyesnoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSPARQL is used as query languageSQL-like query languageyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
gRPC (https)JDBC
native C library infoMAPI library (MonetDB application programming interface)
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
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesnoyes, in SQL, C, R
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoMaster-slave 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 configurationEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes infoRelationships in Graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity and Authentication via Web Application Container (Tomcat, Jetty)token accessfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon RedshiftBlazegraphHyprcubdMonetDB
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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon RedshiftBlazegraphHyprcubdMonetDB
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