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DBMS > Impala vs. Kdb+

System Properties Comparison Impala vs. Kdb+

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonKdb+  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHigh performance Time Series DBMS
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.74
Rank#37  Overall
#23  Relational DBMS
Score5.50
Rank#55  Overall
#2  Time Series DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlkx.com
Technical documentationwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlcode.kx.com
DeveloperClouderaKx Systems, a division of First Derivatives plc
Initial release20132000 infokdb was released 2000, kdb+ in 2003
Current release3.3.0, August 20193.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial 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 languageC++q
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Data schemeyesyes
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-like DML and DDL statementsSQL-like query language (q)
APIs and other access methodsJDBC
ODBC
HTTP API
Jupyter
Kafka
WebSocket
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser 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 nodesselectable replication factorMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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 controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosrights management via user accounts
More information provided by the system vendor
ImpalaKdb+
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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More resources
ImpalaKdb+
DB-Engines blog posts

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

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Recent citations in the news

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

Apache Impala gets top-level status as open source Hadoop tool
1 December 2017, TechTarget

provided by Google News

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 Breaks STAC Benchmark Record with Dell EMC DSSD D5
4 November 2016, insideHPC

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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