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DBMS > Apache Jena - TDB vs. Blazegraph vs. HugeGraph vs. SiteWhere vs. Spark SQL

System Properties Comparison Apache Jena - TDB vs. Blazegraph vs. HugeGraph vs. SiteWhere vs. Spark SQL

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonHugeGraph  Xexclude from comparisonSiteWhere  Xexclude from comparisonSpark SQL  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A fast-speed and highly-scalable Graph DBMSM2M integration platform for persisting/querying time series dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRDF storeGraph DBMS
RDF store
Graph DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlblazegraph.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­sitewhere/­sitewherespark.apache.org/­sql
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlwiki.blazegraph.comhugegraph.apache.org/­docssitewhere1.sitewhere.io/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infooriginally developed by HP LabsBlazegraphBaiduSiteWhereApache Software Foundation
Initial release20002006201820102014
Current release4.9.0, July 20232.1.5, March 20190.93.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoextended commercial license availableOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJavaScala
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
macOS
Unix
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infoRDF Schemasschema-freeyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyes 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.nonono
Secondary indexesyesyesyes infoalso supports composite index and range indexnono
SQL infoSupport of SQLnoSPARQL is used as query languagenonoSQL-like DML and DDL statements
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP RESTJDBC
ODBC
Supported programming languagesJava.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Groovy
Java
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyesasynchronous Gremlin script jobsno
Triggersyes infovia event handlernonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infobased on HBaseyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno
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 Graphsyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess control via Jena SecuritySecurity and Authentication via Web Application Container (Tomcat, Jetty)Users, roles and permissionsUsers with fine-grained authorization conceptno

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More resources
Apache Jena - TDBBlazegraphHugeGraphSiteWhereSpark SQL
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