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DBMS > Apache Phoenix vs. Netezza vs. SQLite vs. Tkrzw vs. Yaacomo

System Properties Comparison Apache Phoenix vs. Netezza vs. SQLite vs. Tkrzw vs. Yaacomo

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSQLite  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseData warehouse and analytics appliance part of IBM PureSystemsWidely used embeddable, in-process RDBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitephoenix.apache.orgwww.ibm.com/­products/­netezzawww.sqlite.orgdbmx.net/­tkrzwyaacomo.com
Technical documentationphoenix.apache.orgwww.sqlite.org/­docs.html
DeveloperApache Software FoundationIBMDwayne Richard HippMikio HirabayashiQ2WEB GmbH
Initial release20142000200020202009
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.45.3  (15 April 2024), April 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoPublic DomainOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemsLinux
Unix
Windows
Linux infoincluded in applianceserver-lessLinux
macOS
Android
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyes infodynamic column typesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.noyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesyes infoSQL-92 is not fully supportednoyes
APIs and other access methodsJDBCJDBC
ODBC
OLE DB
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Actionscript
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
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesnono
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization conceptnonofine grained access rights according to SQL-standard

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More resources
Apache PhoenixNetezza infoAlso called PureData System for Analytics by IBMSQLiteTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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27 May 2020, AWS Blog

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