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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. InterSystems IRIS vs. Machbase Neo vs. Microsoft Access

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. InterSystems IRIS vs. Machbase Neo vs. Microsoft Access

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Access  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 networksA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityTimeSeries DBMS for AIoT and BigDataMicrosoft 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.)
Primary database modelDocument storeDocument store
Key-value store
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.intersystems.com/­products/­intersystems-irismachbase.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsmachbase.com/­dbmsdeveloper.microsoft.com/­en-us/­access
DeveloperAtos Convergence CreatorsInterSystemsMachbaseMicrosoft
Initial release20192016201820131992
Current release17032023.3, June 2023V8.0, August 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree test version availablecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemshostedLinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeSchema and schema-less with LDAP viewsdepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonoyesSQL-like query languageyes infobut not compliant to any SQL standard
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindings.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyesnoyes infosince Access 2010 using the ACE-engine
Triggersnoyesyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSource-replica replicationselectable replication factornone
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 possiblenoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovolatile and lookup table
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationyessimple password-based access controlno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Amazon DocumentDBAtos Standard Common RepositoryInterSystems IRISMachbase Neo infoFormer name was InfinifluxMicrosoft Access
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Amazon DocumentDBAtos Standard Common RepositoryInterSystems IRISMachbase Neo infoFormer name was InfinifluxMicrosoft Access
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