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DBMS > Apache Kylin vs. Netezza vs. PouchDB vs. SQLite vs. Valentina Server

System Properties Comparison Apache Kylin vs. Netezza vs. PouchDB vs. SQLite vs. Valentina Server

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPouchDB  Xexclude from comparisonSQLite  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackData warehouse and analytics appliance part of IBM PureSystemsJavaScript DBMS with an API inspired by CouchDBWidely used embeddable, in-process RDBMSObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitekylin.apache.orgwww.ibm.com/­products/­netezzapouchdb.comwww.sqlite.orgwww.valentina-db.net
Technical documentationkylin.apache.org/­docspouchdb.com/­guideswww.sqlite.org/­docs.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation, originally contributed from eBay IncIBMApache Software FoundationDwayne Richard HippParadigma Software
Initial release20152000201220001999
Current release3.1.0, July 20207.1.1, June 20193.45.3  (15 April 2024), April 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoPublic Domaincommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC
Server operating systemsLinuxLinux infoincluded in applianceserver-less, requires a JavaScript environment (browser, Node.js)server-lessLinux
OS X
Windows
Data schemeyesyesschema-freeyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesnoyes infonot rigid because of 'dynamic typing' concept.yes
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.nonono
Secondary indexesyesyesyes infovia viewsyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesnoyes infoSQL-92 is not fully supportedyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
ODBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
JavaScriptActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesView functions in JavaScriptnoyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptnonofine grained access rights according to SQL-standard

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More resources
Apache KylinNetezza infoAlso called PureData System for Analytics by IBMPouchDBSQLiteValentina Server
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