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DBMS > Druid vs. Kdb+

System Properties Comparison Druid vs. Kdb+

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonKdb+  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataHigh performance Time Series DBMS
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#113  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score5.43
Rank#56  Overall
#2  Time Series DBMS
Websitedruid.iokx.com
Technical documentationdruid.io/­docs/­latest/­design/­index.htmlcode.kx.com
DeveloperMetamarkets Group and contributorsKx Systems, a division of First Derivatives plc
Initial release20122000 infokdb was released 2000, kdb+ in 2003
Current release3.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaq
Server operating systemsLinux
OS X
Unix
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLSQL support via Apache Calcite adapterSQL-like query language (q)
APIs and other access methodsJSON over HTTPHTTP API
Jupyter
Kafka
WebSocket
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoavailable via extensionsrights management via user accounts
More information provided by the system vendor
DruidKdb+
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
DruidKdb+
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

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

Azure HDInsight Brings Next Generation Hadoop 3.0 and Enterprise Security to the Cloud
24 September 2018, HPCwire

provided by Google News

WekaIO, Penguin Computing Set Performance Record on STAC-M3 'Tick Analytics' Benchmark
7 June 2019, HPCwire

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

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

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

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

provided by Google News

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