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DBMS > MonetDB vs. OpenEdge vs. RethinkDB vs. Spark SQL

System Properties Comparison MonetDB vs. OpenEdge vs. RethinkDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonRethinkDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsApplication development environment with integrated database management systemDBMS for the Web with a mechanism to push updated query results to applications in realtime.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.monetdb.orgwww.progress.com/­openedgerethinkdb.comspark.apache.org/­sql
Technical documentationwww.monetdb.org/­Documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestrethinkdb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMonetDB BVProgress Software CorporationThe Linux Foundation infosince July 2017Apache Software Foundation
Initial release2004198420092014
Current releaseDec2023 (11.49), December 2023OpenEdge 12.2, March 20202.4.1, August 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0commercialOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Scala
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes
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 indexesyesyesyesno
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsyes infoclose to SQL 92noSQL-like DML and DDL statements
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Progress proprietary ABL (Advanced Business Language)C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes, in SQL, C, Ryesno
TriggersyesyesClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tableshorizontal partitioning infosince Version 11.4Sharding inforange basedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers and groupsyes infousers and table-level permissionsno

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More resources
MonetDBOpenEdgeRethinkDBSpark SQL
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