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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. FileMaker vs. Microsoft Access vs. SQream DB

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. FileMaker vs. Microsoft Access vs. SQream DB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSQream DB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksFileMaker is a cross-platform RDBMS that includes a GUI frontend.Microsoft 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 GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument storeDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.claris.com/­filemakerwww.microsoft.com/­en-us/­microsoft-365/­accesssqream.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.claris.com/­resources/­documentationdeveloper.microsoft.com/­en-us/­accessdocs.sqream.com
DeveloperAtos Convergence CreatorsClaris infoa subsidiary of AppleMicrosoftSQream Technologies
Initial release20192016198319922017
Current release170319.4.1, November 20211902 (16.0.11328.20222), March 20192022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinuxiOS infoclient part only
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes, ANSI Standard SQL Types
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.noyesyes infoA http query request can return the data in XML format
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnonoyes infovia pluginsyes infobut not compliant to any SQL standardyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPFilemaker WebDirect
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
.Net
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsPHPC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesyes infosince Access 2010 using the ACE-engineuser defined functions in Python
Triggersnoyesyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnonenonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSource-replica replication, warm standby infosince Version 14nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationsimple rights management via user accounts and connection to external directory servicesno infoa simple user-level security was built in till version Access 2003

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More resources
Amazon DocumentDBAtos Standard Common RepositoryFileMakerMicrosoft AccessSQream DB
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