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DBMS > Microsoft SQL Server vs. Spark SQL vs. Tkrzw

System Properties Comparison Microsoft SQL Server vs. Spark SQL vs. Tkrzw

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Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonSpark SQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionMicrosofts flagship relational DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score929.09
Rank#3  Overall
#3  Relational DBMS
Score19.74
Rank#36  Overall
#22  Relational DBMS
Score0.00
Rank#389  Overall
#63  Key-value stores
Websitewww.microsoft.com/­en-us/­sql-serverspark.apache.org/­sqldbmx.net/­tkrzw
Technical documentationdocs.microsoft.com/­en-US/­sql/­sql-serverspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMicrosoftApache Software FoundationMikio Hirabayashi
Initial release198920142020
Current releaseSQL Server 2022, November 20223.3.0 ( 2.13), June 20220.9.3, August 2020
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC++
Server operating systemsLinux
Windows
Linux
OS X
Windows
Linux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yesnono
Secondary indexesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
Python
R
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Editionnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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.yesnoyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
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More resources
Microsoft SQL ServerSpark SQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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