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DBMS > Spark SQL vs. SWC-DB vs. Transbase vs. Valentina Server

System Properties Comparison Spark SQL vs. SWC-DB vs. Transbase vs. Valentina Server

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTransbase  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingA high performance, scalable Wide Column DBMSA resource-optimized, high-performance, universally applicable RDBMSObject-relational database and reports server
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Score0.15
Rank#337  Overall
#147  Relational DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitespark.apache.org/­sqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transaction.de/­en/­products/­transbase.htmlwww.valentina-db.net
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software FoundationAlex KashirinTransaction Software GmbHParadigma Software
Initial release2014202019871999
Current release3.5.0 ( 2.13), September 20230.5, April 2021Transbase 8.3, 20225.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL V3commercial infofree development licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++C and C++
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
ODBC
Supported programming languagesJava
Python
R
Scala
C++C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nononoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Spark SQLSWC-DB infoSuper Wide Column DatabaseTransbaseValentina Server
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