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DBMS > Blazegraph vs. Spark SQL vs. SQL.JS

System Properties Comparison Blazegraph vs. Spark SQL vs. SQL.JS

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQL.JS  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.Spark SQL is a component on top of 'Spark Core' for structured data processingPort of SQLite to JavaScript
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score0.63
Rank#243  Overall
#111  Relational DBMS
Websiteblazegraph.comspark.apache.org/­sqlsql.js.org
Technical documentationwiki.blazegraph.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsql.js.org/­documentation/­index.html
DeveloperBlazegraphApache Software FoundationAlon Zakai infoenhancements implemented by others
Initial release200620142012
Current release2.1.5, March 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaJavaScript
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyes
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.nono
Secondary indexesyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsyes infoSQL-92 is not fully supported
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
JavaScript API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Java
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesno infoexcept by serializing a db to a file
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)nono

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More resources
BlazegraphSpark SQLSQL.JS
DB-Engines blog posts

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