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DBMS > Blazegraph vs. Kdb vs. Kinetica vs. Realm

System Properties Comparison Blazegraph vs. Kdb vs. Kinetica vs. Realm

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonKdb  Xexclude from comparisonKinetica  Xexclude from comparisonRealm  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.High performance Time Series DBMSFully vectorized database across both GPUs and CPUsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelGraph DBMS
RDF store
Time Series DBMS
Vector DBMS
Relational DBMSDocument store
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websiteblazegraph.comkx.comwww.kinetica.comrealm.io
Technical documentationwiki.blazegraph.comcode.kx.comdocs.kinetica.comrealm.io/­docs
DeveloperBlazegraphKx Systems, a division of First Derivatives plcKineticaRealm, acquired by MongoDB in May 2019
Initial release20062000 infokdb was released 2000, kdb+ in 200320122014
Current release2.1.5, March 20193.6, May 20187.1, August 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercial infofree 32-bit versioncommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqC, C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
LinuxAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeyesyesyes
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.yesnono
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language (q)SQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functionsno inforuns within the applications so server-side scripts are unnecessary
Triggersnoyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes infoGPU vRAM or System RAMyes infoIn-Memory realm
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)rights management via user accountsAccess rights for users and roles on table levelyes
More information provided by the system vendor
BlazegraphKdbKineticaRealm
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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BlazegraphKdbKineticaRealm
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