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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
Database modelRelational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.67
Rank#101  Overall
#49  Relational DBMS
#5  Time Series DBMS
Websitekx.com
Technical documentationcode.kx.com/­wiki/­Main_Page
DeveloperKx Systems
Initial release2000 infokdb was released 2000, kdb+ in 2003
Current release3.3, June 2015
License infoCommercial or Open Sourcecommercial infofree 32-bit version
Cloud-based infoOnly available as a cloud serviceno
Implementation languageC and K
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.no
Secondary indexesyes infotable attribute 'grouped'
SQL infoSupport of (almost entire) SQL standard (DML, DDL and DCL statements)no infoSQL-like query language (q) available
APIs and other access methodsHTTP API
WebSocket
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
Lua
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

1010data

Securities Exchange Commission

Shenzhen Stock Exchange

Oppenheimer Capital Markets

Purdue Pharma L.P.

Independent Electricity System Operator, Ontario

Total Gas & Power UK

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

3rd party products and services

We invite representatives of 3rd party vendors 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

AquaQ Analytics Launches Kdb+ Training Academy
7 August 2017, Bobsguide (press release)

AquaQ Analytics Signs Panopticon Reseller Agreement with Datawatch
17 August 2017, Bobsguide (press release)

Kdb+ powers trading platform for BitMEX high-frequency Bitcoin exchange
29 June 2017, Finextra

Kx significantly speeds up performance with the latest edition of its database platform, kdb+ version 3.5
15 March 2017, RealWire (press release)

Python for analysing financial markets
4 August 2017, Automated Trader

provided by Google News

Job opportunities

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Bank of America, New York, NY

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Bank of America, New York, NY

KDB Program Manager
City of Denton, TX, Denton, TX

Java/ C++ Developers
NTT DATA, New York, NY

jobs by Indeed




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