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DBMS > Kdb+

Kdb+ System Properties

Please select another system to compare it with Kdb+.

Editorial information provided by DB-Engines
NameKdb+
DescriptionHigh performance Time Series DBMS
Primary database modelTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.88
Rank#55  Overall
#2  Time Series DBMS
Websitekx.com
Technical documentationcode.kx.com
DeveloperKx Systems, a division of First Derivatives plc
Initial release2000 infokdb was released 2000, kdb+ in 2003
Current release3.6, May 2018
License infoCommercial or Open Sourcecommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageq
Server operating systemsLinux
OS X
Solaris
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.yes
Secondary indexesyes infotable attribute 'grouped'
SQL infoSupport of SQLSQL-like query language (q)
APIs and other access methodsHTTP API
Jupyter
Kafka
WebSocket
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions
Triggersyes infowith views
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlrights management via user accounts
More information provided by the system vendor
Kdb+
Specific characteristics
  • Integrated columnar database & programming system for streaming, real time and historical data

  • Standard OS & hardware

  • In-database analytics

  • Built-in Compression

  • Built-in Parallelism

  • Language Support: C,C#, C++, Java, JavaScript, R etc.

  • Community Language Support: Python, Scala, NodeJS, PHP, Erlang etc.

  • Interfaces: ODBC, JDBC, HTTP & WebSockets

Competitive advantages


  • provides seamless scalability;

  • runs on industry standard server platforms;

  • is top-ranked in third-party benchmark testing;

  • has an extremely small footprint, which makes installation and maintenance fast and straightforward;

  • easily accommodates available APIs for connectivity to major external systems and modules;

  • requires fewer developers, contributing to lower total cost of ownership.
Typical application scenarios


  • tick database

  • streaming sensor data

  • massive intelligence applications

  • oil and gas sensors

  • click stream analytics

  • pharmaceutical research
Key customers

Goldman Sachs

Morgan Stanley

Merrill Lynch

J.P. Morgan

Deutsche Bank

IEX

Securities Exchange Commission

Shenzhen Stock Exchange

Oppenheimer Capital Markets

Independent Electricity System Operator, Ontario

Market metrics
  • kdb+ performance and reliability proven by our customers in critical infrastructure for over the past 20 years
  • 100's of customers, including all of the top global investment banks.
Licensing and pricing models
  • upon request

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Kdb+
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

show all

Recent citations in the news

Penguin Computing Breaks STAC-M3 Performance Records with WekaIO
11 June 2019, insideHPC

It’s About Time For Time Series Databases
25 January 2018, The Next Platform

Kx extends relationship with NASA Frontier Development Lab and the SETI Institute
10 July 2018, SETI Institute

At Kx Systems Big Data Is Old News
24 September 2012, Forbes

Analyze and adapt: Data pros at 4 Chicago companies discuss how trends influence projects
16 April 2019, Built In Chicago

provided by Google News

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