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DBMS > Kdb vs. Microsoft Azure SQL Database vs. ObjectBox vs. RDF4J

System Properties Comparison Kdb vs. Microsoft Azure SQL Database vs. ObjectBox vs. RDF4J

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonObjectBox  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHigh performance Time Series DBMSDatabase as a Service offering with high compatibility to Microsoft SQL ServerExtremely fast embedded database for small devices, IoT and MobileRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSObject oriented DBMSRDF store
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitekx.comazure.microsoft.com/­en-us/­products/­azure-sql/­databaseobjectbox.iordf4j.org
Technical documentationcode.kx.comdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.objectbox.iordf4j.org/­documentation
DeveloperKx Systems, a division of First Derivatives plcMicrosoftObjectBox LimitedSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2000 infokdb was released 2000, kdb+ in 2003201020172004
Current release3.6, May 2018V12
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercialOpen Source infoApache License 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC++C and C++Java
Server operating systemsLinux
OS X
Solaris
Windows
hostedAndroid
iOS
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesyesno
Secondary indexesyes infotable attribute 'grouped'yesyesyes
SQL infoSupport of SQLSQL-like query language (q)yesnono
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
Proprietary native APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsTransact SQLnoyes
Triggersyes infowith viewsyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, with always 3 replicas availableonline/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardyesno
More information provided by the system vendor
KdbMicrosoft Azure SQL Database infoformerly SQL AzureObjectBoxRDF4J infoformerly known as Sesame
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
KdbMicrosoft Azure SQL Database infoformerly SQL AzureObjectBoxRDF4J infoformerly known as Sesame
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