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DBMS > Apache Phoenix vs. DataFS vs. Microsoft SQL Server vs. Trafodion

System Properties Comparison Apache Phoenix vs. DataFS vs. Microsoft SQL Server vs. Trafodion

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDataFS  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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.Microsofts flagship relational DBMSTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMSDocument store
Graph DBMS
Spatial 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
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websitephoenix.apache.orgnewdatabase.comwww.microsoft.com/­en-us/­sql-servertrafodion.apache.org
Technical documentationphoenix.apache.orgdev.mobiland.com/­Overview.xsplearn.microsoft.com/­en-US/­sql/­sql-servertrafodion.apache.org/­documentation.html
DeveloperApache Software FoundationMobiland AGMicrosoftApache Software Foundation, originally developed by HP
Initial release2014201819892014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1.263, October 2022SQL Server 2022, November 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Java
Server operating systemsLinux
Unix
Windows
WindowsLinux
Windows
Linux
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)yesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsJDBC.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
VB.Net
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJava Stored Procedures
Triggersnono, except callback-events from server when changes happenedyesno
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server Editionyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyWindows-Profilefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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Apache PhoenixDataFSMicrosoft SQL ServerTrafodion
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