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DBMS > DataFS vs. EsgynDB vs. Microsoft SQL Server vs. Quasardb

System Properties Comparison DataFS vs. EsgynDB vs. Microsoft SQL Server vs. Quasardb

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonQuasardb  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionMicrosofts flagship relational DBMSDistributed, high-performance timeseries database
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitenewdatabase.comwww.esgyn.cnwww.microsoft.com/­en-us/­sql-serverquasar.ai
Technical documentationdev.mobiland.com/­Overview.xsplearn.microsoft.com/­en-US/­sql/­sql-serverdoc.quasar.ai/­master
DeveloperMobiland AGEsgynMicrosoftquasardb
Initial release2018201519892009
Current release1.1.263, October 2022SQL Server 2022, November 20223.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++, JavaC++C++
Server operating systemsWindowsLinuxLinux
Windows
BSD
Linux
OS X
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 indexesnoyesyesyes infowith tags
SQL infoSupport of SQLnoyesyesSQL-like query language
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresJava Stored ProceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersno, except callback-events from server when changes happenednoyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes, but depending on the SQL-Server EditionSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
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 infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoTransient mode
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
DataFSEsgynDBMicrosoft SQL ServerQuasardb
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