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

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

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBlazegraph  Xexclude from comparisonGridGain  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.GridGain is an in-memory computing platform, built on Apache IgniteA relational database management system that stores data in columns
Primary database modelRelational DBMSGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational 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
Score2.16
Rank#116  Overall
#23  Key-value stores
#56  Relational DBMS
Score1.89
Rank#124  Overall
#61  Relational DBMS
Websiteaws.amazon.com/­redshiftblazegraph.comwww.gridgain.comwww.monetdb.org
Technical documentationdocs.aws.amazon.com/­redshiftwiki.blazegraph.comwww.gridgain.com/­docs/­latestwww.monetdb.org/­Documentation
DeveloperAmazon (based on PostgreSQL)BlazegraphGridGain Systems, Inc.MonetDB BV
Initial release2012200620072004
Current release2.1.5, March 2019GridGain 8.5.1Jun2020, 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 serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJava, C++, .NetC
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
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.noyes
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSPARQL is used as query languageANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, R
Triggersnonoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes (replicated cache)none infoMaster-slave replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
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 systemyes infoRelationships in Graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity and Authentication via Web Application Container (Tomcat, Jetty)Security Hooks for custom implementationsfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon RedshiftBlazegraphGridGainMonetDB
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

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

Optimistic Concurrency Control in MonetDB
3 January 2020

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

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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 RedshiftBlazegraphGridGainMonetDB
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