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DBMS > MonetDB vs. Spark SQL vs. SQream DB vs. Trafodion

System Properties Comparison MonetDB vs. Spark SQL vs. SQream DB vs. Trafodion

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQream DB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA relational database management system that stores data in columnsSpark SQL is a component on top of 'Spark Core' for structured data processinga GPU-based, columnar RDBMS for big data analytics workloadsTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.monetdb.orgspark.apache.org/­sqlsqream.comtrafodion.apache.org
Technical documentationwww.monetdb.org/­Documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.sqream.comtrafodion.apache.org/­documentation.html
DeveloperMonetDB BVApache Software FoundationSQream TechnologiesApache Software Foundation, originally developed by HP
Initial release2004201420172014
Current releaseDec2023 (11.49), December 20233.5.0 ( 2.13), September 20232022.1.6, December 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCScalaC++, CUDA, Haskell, Java, ScalaC++, Java
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
LinuxLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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.nono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
.Net
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes, in SQL, C, Rnouser defined functions in PythonJava Stored Procedures
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesyes, utilizing Spark Corehorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusnonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
MonetDBSpark SQLSQream DBTrafodion
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