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DBMS > Microsoft Access vs. MonetDB vs. OrientDB vs. Spark SQL vs. Trafodion

System Properties Comparison Microsoft Access vs. MonetDB vs. OrientDB vs. Spark SQL vs. Trafodion

Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonMonetDB  Xexclude from comparisonOrientDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A relational database management system that stores data in columnsMulti-model DBMS (Document, Graph, Key/Value)Spark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accesswww.monetdb.orgorientdb.orgspark.apache.org/­sqltrafodion.apache.org
Technical documentationdeveloper.microsoft.com/­en-us/­accesswww.monetdb.org/­Documentationwww.orientdb.com/­docs/­last/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperMicrosoftMonetDB BVOrientDB LTD; CallidusCloud; SAPApache Software FoundationApache Software Foundation, originally developed by HP
Initial release19922004201020142014
Current release1902 (16.0.11328.20222), March 2019Dec2023 (11.49), December 20233.2.29, March 20243.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoMozilla Public License 2.0Open Source infoApache version 2Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CJavaScalaC++, Java
Server operating systemsWindows infoNot a real database server, but making use of DLLsFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)Linux
OS X
Windows
Linux
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardyes infoSQL 2003 with some extensionsSQL-like query language, no joinsSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineyes, in SQL, C, RJava, JavascriptnoJava Stored Procedures
Triggersyes infosince Access 2010 using the ACE-engineyesHooksnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tablesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoSource-replica replication available in experimental statusMulti-source replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesyes inforelationship in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurablenofine grained access rights according to SQL-standard

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More resources
Microsoft AccessMonetDBOrientDBSpark SQLTrafodion
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