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DBMS > DataFS vs. Hive vs. Microsoft Azure SQL Database vs. MonetDB vs. Netezza

System Properties Comparison DataFS vs. Hive vs. Microsoft Azure SQL Database vs. MonetDB vs. Netezza

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMonetDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionAll 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 HadoopDatabase as a Service offering with high compatibility to Microsoft SQL ServerA relational database management system that stores data in columnsData warehouse and analytics appliance part of IBM PureSystems
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMSDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitenewdatabase.comhive.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.monetdb.orgwww.ibm.com/­products/­netezza
Technical documentationdev.mobiland.com/­Overview.xspcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­en-us/­azure/­azure-sqlwww.monetdb.org/­Documentation
DeveloperMobiland AGApache Software Foundation infoinitially developed by FacebookMicrosoftMonetDB BVIBM
Initial release20182012201020042000
Current release1.1.263, October 20223.1.3, April 2022V12Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C
Server operating systemsWindowsAll OS with a Java VMhostedFreeBSD
Linux
OS X
Solaris
Windows
Linux infoincluded in appliance
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyes infoSQL 2003 with some extensionsyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C#
C++
VB.Net
C++
Java
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQLyes, in SQL, C, Ryes
Triggersno, except callback-events from server when changes happenednoyesyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, with always 3 replicas availablenone infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.no
User concepts infoAccess controlWindows-ProfileAccess rights for users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
DataFSHiveMicrosoft Azure SQL Database infoformerly SQL AzureMonetDBNetezza infoAlso called PureData System for Analytics by IBM
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