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DBMS > Apache Spark (SQL) vs. Microsoft SQL Server vs. Oracle Coherence

System Properties Comparison Apache Spark (SQL) vs. Microsoft SQL Server vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingMicrosofts flagship relational DBMSOracles in-memory data grid solution
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
Score18.45
Rank#31  Overall
#19  Relational DBMS
Score786.87
Rank#3  Overall
#3  Relational DBMS
Score1.67
Rank#132  Overall
#22  Key-value stores
Websitespark.apache.org/­sqlwww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­java/­coherence
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmllearn.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software FoundationMicrosoftOracle
Initial release201419892007
Current release3.5.0 ( 2.13), September 2023SQL Server 2022, November 202214.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
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 languageScalaC++Java
Server operating systemsLinux
OS X
Windows
Linux
Windows
All OS with a Java VM
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JCache
JPA
RESTful HTTP API
Supported programming languagesJava
Python
R
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C++
Java
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnoyesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Coretables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server Editionyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authentication

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More resources
Apache Spark (SQL)Microsoft SQL ServerOracle Coherence
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