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DBMS > Microsoft Access vs. Spark SQL

System Properties Comparison Microsoft Access vs. Spark SQL

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Our visitors often compare Microsoft Access and Spark SQL with Oracle, MySQL and PostgreSQL.

Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonSpark SQL  Xexclude from comparison
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.)Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score144.65
Rank#9  Overall
#6  Relational DBMS
Score17.19
Rank#35  Overall
#21  Relational DBMS
Websiteproducts.office.com/­en-us/­accessspark.apache.org/­sql
Technical documentationmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMicrosoftApache Software Foundation
Initial release19922014
Current release1902 (16.0.11328.20222), March 2019v2.4.0, November 2018
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen 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 languageC++Scala
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
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 infobut not compliant to any SQL standardSQL-like DML and DDL statements
APIs and other access methodsDAO
OLE DB
ADO.NET
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineno
Triggersyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
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 dataACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003no

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More resources
Microsoft AccessSpark SQL
DB-Engines blog posts

MS Access drops in DB-Engines Ranking
2 May 2013, Paul Andlinger

Microsoft SQL Server regained rank 2 in the DB-Engines popularity ranking
3 December 2012, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

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Conferences and events

Spark + AI Summit
San Francisco, California, 23-25 April 2019

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