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DBMS > MonetDB vs. Spark SQL

System Properties Comparison MonetDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.36
Rank#129  Overall
#63  Relational DBMS
Score20.15
Rank#36  Overall
#22  Relational DBMS
Websitewww.monetdb.orgspark.apache.org/­sql
Technical documentationwww.monetdb.org/­Documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMonetDB BVApache Software Foundation
Initial release20042014
Current releaseJul2021-SP2, July 20213.3.0 ( 2.13), June 2022
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScala
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesno
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsSQL-like DML and DDL statements
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes, in SQL, C, Rno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
MonetDBSpark SQL
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