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DBMS > Kdb vs. Kinetica vs. Microsoft Azure SQL Database vs. SiteWhere vs. Sphinx

System Properties Comparison Kdb vs. Kinetica vs. Microsoft Azure SQL Database vs. SiteWhere vs. Sphinx

Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSiteWhere  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performance Time Series DBMSFully vectorized database across both GPUs and CPUsDatabase as a Service offering with high compatibility to Microsoft SQL ServerM2M integration platform for persisting/querying time series dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitekx.comwww.kinetica.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­sitewhere/­sitewheresphinxsearch.com
Technical documentationcode.kx.comdocs.kinetica.comdocs.microsoft.com/­en-us/­azure/­azure-sqlsitewhere1.sitewhere.io/­index.htmlsphinxsearch.com/­docs
DeveloperKx Systems, a division of First Derivatives plcKineticaMicrosoftSiteWhereSphinx Technologies Inc.
Initial release2000 infokdb was released 2000, kdb+ in 20032012201020102001
Current release3.6, May 20187.1, August 2021V123.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC, C++C++JavaC++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxhostedLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.yesnoyesno
Secondary indexesyes infotable attribute 'grouped'yesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language (q)SQL-like DML and DDL statementsyesnoSQL-like query language (SphinxQL)
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP RESTProprietary protocol
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsTransact SQLno
Triggersyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes, with always 3 replicas availableselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlrights management via user accountsAccess rights for users and roles on table levelfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptno
More information provided by the system vendor
KdbKineticaMicrosoft Azure SQL Database infoformerly SQL AzureSiteWhereSphinx
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
KdbKineticaMicrosoft Azure SQL Database infoformerly SQL AzureSiteWhereSphinx
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