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DBMS > Microsoft Access vs. PouchDB vs. Realm vs. SQLite

System Properties Comparison Microsoft Access vs. PouchDB vs. Realm vs. SQLite

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Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonPouchDB  Xexclude from comparisonRealm  Xexclude from comparisonSQLite  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.)JavaScript DBMS with an API inspired by CouchDBA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Score7.71
Rank#52  Overall
#9  Document stores
Score116.01
Rank#10  Overall
#7  Relational DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accesspouchdb.comrealm.iowww.sqlite.org
Technical documentationdeveloper.microsoft.com/­en-us/­accesspouchdb.com/­guidesrealm.io/­docswww.sqlite.org/­docs.html
DeveloperMicrosoftApache Software FoundationRealm, acquired by MongoDB in May 2019Dwayne Richard Hipp
Initial release1992201220142000
Current release1902 (16.0.11328.20222), March 20197.1.1, June 20193.45.3  (15 April 2024), April 2024
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen SourceOpen SourceOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptC
Server operating systemsWindows infoNot a real database server, but making use of DLLsserver-less, requires a JavaScript environment (browser, Node.js)Android
Backend: server-less
iOS
Windows
server-less
Data schemeyesschema-freeyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesnoyesyes infonot rigid because of 'dynamic typing' concept.
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 indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardnonoyes infoSQL-92 is not fully supported
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaScript.Net
Java infowith Android only
Objective-C
React Native
Swift
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineView functions in JavaScriptno inforuns within the applications so server-side scripts are unnecessaryno
Triggersyes infosince Access 2010 using the ACE-engineyesyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infowith a proxy-based framework, named couchdb-loungenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infovia file-system locks
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmyes
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003noyesno

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More resources
Microsoft AccessPouchDBRealmSQLite
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