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DBMS > Apache Phoenix vs. CouchDB vs. DataFS vs. InfinityDB vs. Netezza

System Properties Comparison Apache Phoenix vs. CouchDB vs. DataFS vs. InfinityDB vs. Netezza

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDataFS  Xexclude from comparisonInfinityDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A Java embedded Key-Value Store which extends the Java Map interfaceData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSDocument storeObject oriented DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitephoenix.apache.orgcouchdb.apache.orgnewdatabase.comboilerbay.comwww.ibm.com/­products/­netezza
Technical documentationphoenix.apache.orgdocs.couchdb.org/­en/­stabledev.mobiland.com/­Overview.xspboilerbay.com/­infinitydb/­manual
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMobiland AGBoiler Bay Inc.IBM
Initial release20142005201820022000
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3.3, December 20231.1.263, October 20224.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangJava
Server operating systemsLinux
Unix
Windows
Android
BSD
Linux
OS X
Solaris
Windows
WindowsAll OS with a Java VMLinux infoincluded in appliance
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesnoyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 indexesyesyes infovia viewsnono infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLyesnononoyes
APIs and other access methodsJDBCRESTful HTTP/JSON API.NET Client API
Proprietary client DLL
WinRT client
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C#
C++
VB.Net
JavaC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsView functions in JavaScriptnoyes
Triggersnoyesno, except callback-events from server when changes happenednono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0Proprietary Sharding systemnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynonoyesno infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
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.yesnonono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per databaseWindows-ProfilenoUsers with fine-grained authorization concept

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More resources
Apache PhoenixCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DataFSInfinityDBNetezza infoAlso called PureData System for Analytics by IBM
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