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DBMS > DataFS vs. Microsoft Azure Table Storage vs. PostgreSQL vs. SQream DB

System Properties Comparison DataFS vs. Microsoft Azure Table Storage vs. PostgreSQL vs. SQream DB

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSQream DB  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.A Wide Column Store for rapid development using massive semi-structured datasetsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelObject oriented DBMSWide column storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsGraph DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitenewdatabase.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.postgresql.orgsqream.com
Technical documentationdev.mobiland.com/­Overview.xspwww.postgresql.org/­docsdocs.sqream.com
DeveloperMobiland AGMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerSQream Technologies
Initial release201820121989 info1989: Postgres, 1996: PostgreSQL2017
Current release1.1.263, October 202216.3, May 20242022.1.6, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++, CUDA, Haskell, Java, Scala
Server operating systemsWindowshostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnonoyesno
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions in Python
Triggersno, except callback-events from server when changes happenednoyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hashhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACID
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.nonono
User concepts infoAccess controlWindows-ProfileAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
DataFSMicrosoft Azure Table StoragePostgreSQLSQream DB
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