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DBMS > Apache Impala vs. CouchDB vs. Kdb vs. mSQL

System Properties Comparison Apache Impala vs. CouchDB vs. Kdb vs. mSQL

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonKdb  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.High performance Time Series DBMSmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMSDocument storeTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score10.26
Rank#45  Overall
#7  Document stores
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Websiteimpala.apache.orgcouchdb.apache.orgkx.comhughestech.com.au/­products/­msql
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stablecode.kx.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerKx Systems, a division of First Derivatives plcHughes Technologies
Initial release201320052000 infokdb was released 2000, kdb+ in 20031994
Current release4.1.0, June 20223.3.3, December 20233.6, May 20184.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2commercial infofree 32-bit versioncommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangqC
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyesno
Secondary indexesyesyes infovia viewsyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (q)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptuser defined functionsno
Triggersnoyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesno
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databaserights management via user accountsno
More information provided by the system vendor
Apache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"KdbmSQL infoMini SQL
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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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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Apache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"KdbmSQL infoMini SQL
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