DBMS > Microsoft Access vs. Microsoft SQL Server vs. SAP SQL Anywhere
System Properties Comparison Microsoft Access vs. Microsoft SQL Server vs. SAP SQL Anywhere
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|Editorial information provided by DB-Engines|
|Name||Microsoft Access Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||SAP SQL Anywhere formerly called Adaptive Server Anywhere Xexclude from comparison|
|Description||Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. The Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)||Microsofts relational DBMS||RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments|
|Primary database model||Relational DBMS||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||Microsoft||Microsoft||SAP formerly Sybase|
|Current release||1902 (16.0.11328.20222), March 2019||SQL Server 2017, October 2017||17, July 2015|
|License Commercial or Open Source||commercial Bundled with Microsoft Office||commercial restricted free version is available||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Windows Not a real database server, but making use of DLLs||Linux|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes||yes|
|SQL Support of SQL||yes but not compliant to any SQL standard||yes||yes|
|APIs and other access methods||DAO|
Tabular Data Stream (TDS)
|Supported programming languages||C|
|Server-side scripts Stored procedures||yes since Access 2010 using the ACE-engine||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||yes, in C/C++, Java, .Net or Perl|
|Triggers||yes since Access 2010 using the ACE-engine||yes||yes|
|Partitioning methods Methods for storing different data on different nodes||none||tables can be distributed across several files (horizontal partitioning); sharding through federation||none|
|Replication methods Methods for redundantly storing data on multiple nodes||none||yes, but depending on the SQL-Server Edition||Master-slave replication Database mirroring|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID but no files for transaction logging||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes but no files for transaction logging||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes|
|User concepts Access control||no a simple user-level security was built in till version Access 2003||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
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|Microsoft Access||Microsoft SQL Server||SAP SQL Anywhere formerly called Adaptive Server Anywhere|
|DB-Engines blog posts|
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|Conferences and events|
PASS Summit 2019
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