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DBMS > Blazegraph vs. Hive vs. Spark SQL vs. Virtuoso

System Properties Comparison Blazegraph vs. Hive vs. Spark SQL vs. Virtuoso

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonHive  Xexclude from comparisonSpark SQL  Xexclude from comparisonVirtuoso  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.data warehouse software for querying and managing large distributed datasets, built on HadoopSpark SQL is a component on top of 'Spark Core' for structured data processingVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score4.20
Rank#83  Overall
#14  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#45  Relational DBMS
#2  RDF stores
#9  Search engines
Websiteblazegraph.comhive.apache.orgspark.apache.org/­sqlvirtuoso.openlinksw.com
Technical documentationwiki.blazegraph.comcwiki.apache.org/­confluence/­display/­Hive/­Homespark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.openlinksw.com/­virtuoso
DeveloperBlazegraphApache Software Foundation infoinitially developed by FacebookApache Software FoundationOpenLink Software
Initial release2006201220141998
Current release2.1.5, March 20193.1.3, April 20223.5.0 ( 2.13), September 20237.2.11, September 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScalaC
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
Thrift
JDBC
ODBC
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C++
Java
PHP
Python
Java
Python
R
Scala
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenoyes infoVirtuoso PL
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Coreyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornoneChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.noyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and rolesnoFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
BlazegraphHiveSpark SQLVirtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesPerformance & Scale โ€” as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosUsed for โ€” Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersBroad use across enterprises and governments including โ€” European Union (EU) US Government...
» more
Market metricsLargest installed-base โ€‹of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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