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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 modelRelational DBMS
Time Series DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.22
Rank#70  Overall
#37  Relational DBMS
#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 release3.3, 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 SQLSQL-like query language (q)
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

Kx Qualifies WekaIO to Run with Its kdb+ Database in AWS EC2
28 June 2018, HPCwire

Kx Announces Dashboards Integration with Finsemble and OpenFin
29 June 2018, Markets Insider

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

FD to Buy out Minority Shareholders of Kx Systems by June 2019
2 July 2018, Finance Magnates

Kx Systems releases SaaS version of kdb+
27 March 2018, Finextra

provided by Google News

Job opportunities

C++/KDB Developer
Morgan Stanley, New York, NY

Jr. Trader (Asian Market Hours)
Geneva Trading, Chicago, IL

Algorithmic Trading Developer - C++
Quantitative Brokers, New York, NY

KDB Software Engineer
JP Morgan Chase, New York, NY

Vice President
Bank of America, New York, NY

jobs by Indeed




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