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DBMS > Blazegraph vs. Citus vs. GigaSpaces

System Properties Comparison Blazegraph vs. Citus vs. GigaSpaces

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCitus  Xexclude from comparisonGigaSpaces  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsDocument storeGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score2.21
Rank#129  Overall
#61  Relational DBMS
Score1.05
Rank#191  Overall
#31  Document stores
#6  Object oriented DBMS
Websiteblazegraph.comwww.citusdata.comwww.gigaspaces.com
Technical documentationwiki.blazegraph.comdocs.citusdata.comdocs.gigaspaces.com/­latest/­landing.html
DeveloperBlazegraphGigaspaces Technologies
Initial release200620102000
Current release2.1.5, March 20198.1, December 201815.5, September 2020
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava, C++, .Net
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Solaris
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes 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.yes infospecific XML type available, but no XML query functionalityno infoXML can be used for describing objects metadata
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes infostandard, with numerous extensionsSQL-99 for query and DML statements
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersnoyesyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesno
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 persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardRole-based access control

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More resources
BlazegraphCitusGigaSpaces
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