DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Kdb+ vs. MySQL vs. PostgreSQL

System Properties Comparison Kdb+ vs. MySQL vs. PostgreSQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameKdb+  Xexclude from comparisonMySQL  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionHigh performance Time Series DBMSWidely used open source RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelTime Series DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsRelational DBMSDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.85
Rank#53  Overall
#2  Time Series DBMS
Score1215.14
Rank#2  Overall
#2  Relational DBMS
Score478.72
Rank#4  Overall
#4  Relational DBMS
Websitekx.comwww.mysql.comwww.postgresql.org
Technical documentationcode.kx.comdev.mysql.com/­docwww.postgresql.org/­docs/­manuals
DeveloperKx Systems, a division of First Derivatives plcOracle infosince 2010, originally MySQL AB, then SunPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2000 infokdb was released 2000, kdb+ in 200319951989 info1989: Postgres, 1996: PostgreSQL
Current release3.6, May 20188.0.15, February 201911.2, February 2019
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
Implementation languageqC and C++C
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLSQL-like query language (q)yes infowith proprietary extensionsyes infostandard with numerous extensions
APIs and other access methodsHTTP API
Jupyter
Kafka
WebSocket
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes infowith viewsyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication
Master-slave replication
Master-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlrights management via user accountsUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
Kdb+MySQLPostgreSQL
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
» more

Azure Database for MySQL provides fully managed, enterprise-ready community MySQL database as a service
» more

ScaleGrid: Fully managed MySQL-as-a-Service.
» more

General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Dremio is like magic for MySQL accelerating your analytical queries up to 1,000x.
» more
2ndQuadrant: PostgreSQL Solutions for the Enterprise.
» more

pgDash: In-Depth PostgreSQL Monitoring.
» more

Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
» more

Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
» more

DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
» more

General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
» more

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

More resources
Kdb+MySQLPostgreSQL
DB-Engines blog posts

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

show all

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Conferences and events

PGCon 2019, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 28-31 May 2019

Finished events

Achieving High Availability with PostgreSQL
Webinar, 4PM UTC, 26 February 2019 (finished)

Recent citations in the news

Lenovo Announces Data Center Portfolio Refresh – Featuring New Intel® Processors, Persistent Memory and Enhanced Security
2 April 2019, Associated Press

Kx to power analytics for US real estate giant Zillow
3 April 2019, Associated Press

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

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

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

provided by Google News

Oracle splats 300 vulns in MySQL, Database, Fusion, etc, pours fresh brew of Java SE terms
16 April 2019, The Register

Oracle Management Software Supplier Adds Security Patching for MySQL and SQL Server
16 April 2019, Database Trends and Applications

Using Ethereum Logic Apps to push ledger data into to a MySQL or PostgreSQL database - Microsoft
25 March 2019, Channel 9

Top 10 Database Diagram Tools for MySQL
2 April 2019, Database Journal

Server General Delivers A Secure MySQL Server Appliance for Google Compute Engine Customers
9 April 2019, MENAFN.COM

provided by Google News

Building a scalable PostgreSQL solution
14 April 2019, Packt Hub

PostgreSQL security: a quick look at authentication best practices [Tutorial]
12 April 2019, Packt Hub

"Feature" of PostgreSQL 9.3 could enable hackers to execute code; affects Mac, Windows, Linux
1 April 2019, SC Magazine UK

Crunchy Data Collaborates With Center for Internet Security® To Continue Advancing PostgreSQL Security For Enterprise
1 April 2019, PRNewswire

Using Ethereum Logic Apps to push ledger data into to a MySQL or PostgreSQL database - Microsoft
25 March 2019, Channel 9

provided by Google News

Job opportunities

Associate
Bank of America, New York, NY

Associate
Morgan Stanley, New York, NY

AmeriCorps Education Outreach and Volunteer Coordinator
CTNC AmeriCorps, Durham, NC

Platform Engineer
Bank of America, New York, NY

Appian Application Engineer
Bank of America, Charlotte, NC

Database Administrator (DBA)
DarkMatter, Arizona

AWS Oracle Database Administrator
Amazon.com Services, Inc., Herndon, VA

Database Administrator
NextGen Healthcare, Horsham, PA

Database Administrator
NBCUniversal, Universal City, CA

Junior Database Administrator – PostgreSQL
BMC Software, Texas

Data Analyst - Houston, TX
Shell, Houston, TX

Data Infrastructure Engineer
Heetch, Indiana

MySQL Database Administrator
Piper Companies, Raleigh, NC

Entry Level Java Developer
CGI, Lafayette, LA

Data Warehouse Engineer
Bethesda Game Studios - Austin, Austin, TX

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your step-by-step guide comparing RDBMS to graph databases, including data models, query languages, and deployment strategies.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

RavenDB logo

Runs on Windows, Linux, Raspberry Pi. Easy to Operate, Fast Performance.
APIs for JS, .NET, Python.
Take a Free Download

Present your product here