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

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

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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 comparisonSphinx  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 DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument storeTime Series DBMS
Vector DBMS
Search engine
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
Score6.03
Rank#60  Overall
#6  Search engines
Websiteimpala.apache.orgcouchdb.apache.orgkx.comsphinxsearch.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stablecode.kx.comsphinxsearch.com/­docs
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 plcSphinx Technologies Inc.
Initial release201320052000 infokdb was released 2000, kdb+ in 20032001
Current release4.1.0, June 20223.3.3, December 20233.6, May 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2commercial infofree 32-bit versionOpen Source infoGPL version 2, commercial licence available
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
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesno
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.nonoyes
Secondary indexesyesyes infovia viewsyes infotable attribute 'grouped'yes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (q)SQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary protocol
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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
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 partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
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 Consistency
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 lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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"KdbSphinx
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...
» 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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Apache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"KdbSphinx
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