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DBMS > Amazon SimpleDB vs. BigchainDB vs. Microsoft Access vs. ObjectBox vs. Realm

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. Microsoft Access vs. ObjectBox vs. Realm

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonObjectBox  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsMicrosoft 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.)Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelKey-value storeDocument storeRelational DBMSObject oriented DBMS
Vector DBMS
Document store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comwww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­objectbox
objectbox.io
realm.io
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdeveloper.microsoft.com/­en-us/­accessdocs.objectbox.iorealm.io/­docs
DeveloperAmazonMicrosoftObjectBox LimitedRealm, acquired by MongoDB in May 2019
Initial release20072016199220172014
Current release1902 (16.0.11328.20222), March 20194.0 (May 2024)
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercial infoBundled with Microsoft OfficeBindings are released under Apache 2.0 infoApache License 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++C and C++
Server operating systemshostedLinuxWindows infoNot a real database server, but making use of DLLsAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyes, plus "flex" map-like typesyes
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 indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardnono
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Proprietary native API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenono inforuns within the applications so server-side scripts are unnecessary
Triggersnoyes infosince Access 2010 using the ACE-enginenoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornoneData sync between devices allowing occasional connected databases to work completely offlinenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesno infoa simple user-level security was built in till version Access 2003yesyes
More information provided by the system vendor
Amazon SimpleDBBigchainDBMicrosoft AccessObjectBoxRealm
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More resources
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