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DBMS > Apache Phoenix vs. DataFS vs. Hive

System Properties Comparison Apache Phoenix vs. DataFS vs. Hive

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDataFS  Xexclude from comparisonHive  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAll 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.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMSObject oriented DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitephoenix.apache.orgnewdatabase.comhive.apache.org
Technical documentationphoenix.apache.orgdev.mobiland.com/­Overview.xspcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperApache Software FoundationMobiland AGApache Software Foundation infoinitially developed by Facebook
Initial release201420182012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1.263, October 20223.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
Unix
Windows
WindowsAll OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements
APIs and other access methodsJDBC.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
Thrift
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
VB.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduce
Triggersnono, except callback-events from server when changes happenedno
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyWindows-ProfileAccess rights for users, groups and roles

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More resources
Apache PhoenixDataFSHive
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