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DBMS > Blazegraph vs. Quasardb vs. SiteWhere vs. Spark SQL vs. TypeDB

System Properties Comparison Blazegraph vs. Quasardb vs. SiteWhere vs. Spark SQL vs. TypeDB

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonTypeDB infoformerly named Grakn  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.Distributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series dataSpark SQL is a component on top of 'Spark Core' for structured data processingTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelGraph DBMS
RDF store
Time Series DBMSTime Series DBMSRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.81
Rank#217  Overall
#19  Graph DBMS
#99  Relational DBMS
Websiteblazegraph.comquasar.aigithub.com/­sitewhere/­sitewherespark.apache.org/­sqltypedb.com
Technical documentationwiki.blazegraph.comdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmltypedb.com/­docs
DeveloperBlazegraphquasardbSiteWhereApache Software FoundationVaticle
Initial release20062009201020142016
Current release2.1.5, March 20193.14.1, January 20243.5.0 ( 2.13), September 20232.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScalaJava
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freepredefined schemeyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyes infointeger and binaryyesyesyes
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.nononono
Secondary indexesyesyes infowith tagsnonoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languagenoSQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP APIHTTP RESTJDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infobased on HBaseyes, utilizing Spark CoreSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with selectable replication factorselectable replication factor infobased on HBasenoneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnoyes infoby using Apache Kafka and Apache Zookeeper
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 Graphsnononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modenonono
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Cryptographically strong user authentication and audit trailUsers with fine-grained authorization conceptnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
BlazegraphQuasardbSiteWhereSpark SQLTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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BlazegraphQuasardbSiteWhereSpark SQLTypeDB infoformerly named Grakn
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