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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. Microsoft Access vs. Rockset vs. Valentina Server

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. Microsoft Access vs. Rockset vs. Valentina Server

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRockset  Xexclude from comparisonValentina Server  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 networksMicrosoft 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 scalable, reliable search and analytics service in the cloud, built on RocksDBObject-relational database and reports server
Primary database modelDocument storeDocument store
Key-value store
Relational DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.microsoft.com/­en-us/­microsoft-365/­accessrockset.comwww.valentina-db.net
Technical documentationaws.amazon.com/­documentdb/­resourcesdeveloper.microsoft.com/­en-us/­accessdocs.rockset.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAtos Convergence CreatorsMicrosoftRocksetParadigma Software
Initial release20192016199220191999
Current release17031902 (16.0.11328.20222), March 20195.7.5
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft Officecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemshostedLinuxWindows infoNot a real database server, but making use of DLLshostedLinux
OS X
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesdynamic typingyes
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.noyesno infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardRead-only SQL queries, including JOINsyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPADO.NET
DAO
ODBC
OLE DB
HTTP RESTODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-enginenoyes
Triggersnoyesyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesnoneyes
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 configurationEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationno infoa simple user-level security was built in till version Access 2003Access rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBAtos Standard Common RepositoryMicrosoft AccessRocksetValentina Server
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