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DBMS > Blazegraph vs. SiteWhere vs. Spark SQL vs. Tibero vs. Transbase

System Properties Comparison Blazegraph vs. SiteWhere vs. Spark SQL vs. Tibero vs. Transbase

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonSiteWhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonTibero  Xexclude from comparisonTransbase  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.M2M integration platform for persisting/querying time series dataSpark SQL is a component on top of 'Spark Core' for structured data processingA secure RDBMS, designed for easy portability from OracleA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelGraph DBMS
RDF store
Time Series DBMSRelational DBMSRelational DBMSRelational 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
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score1.81
Rank#143  Overall
#65  Relational DBMS
Score0.15
Rank#337  Overall
#147  Relational DBMS
Websiteblazegraph.comgithub.com/­sitewhere/­sitewherespark.apache.org/­sqlus.tmaxsoft.com/­products/­tiberowww.transaction.de/­en/­products/­transbase.html
Technical documentationwiki.blazegraph.comsitewhere1.sitewhere.io/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperBlazegraphSiteWhereApache Software FoundationTmaxSoftTransaction Software GmbH
Initial release20062010201420031987
Current release2.1.5, March 20193.5.0 ( 2.13), September 20236, April 2015Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0commercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScalaC and AssemblerC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freepredefined schemeyesyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyesyes
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.nonoyesno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like DML and DDL statementsyesyes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP RESTJDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Java
Python
R
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesnoPersistent Stored Procedure (PSM)yes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseyes, utilizing Spark Corehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on HBasenoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDyes
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.nonono infoplanned for next versionno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Users with fine-grained authorization conceptnofine grained access rights according to SQL-standard (SQL 92, SQL 99)fine grained access rights according to SQL-standard

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More resources
BlazegraphSiteWhereSpark SQLTiberoTransbase
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