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DBMS > Amazon Redshift vs. Atos Standard Common Repository vs. FileMaker vs. Microsoft Access vs. ObjectBox

System Properties Comparison Amazon Redshift vs. Atos Standard Common Repository vs. FileMaker vs. Microsoft Access vs. ObjectBox

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonObjectBox  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsHighly 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.)Extremely fast embedded database for small devices, IoT and Mobile
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Websiteaws.amazon.com/­redshiftatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.claris.com/­filemakerwww.microsoft.com/­en-us/­microsoft-365/­accessobjectbox.io
Technical documentationdocs.aws.amazon.com/­redshiftwww.claris.com/­resources/­documentationdeveloper.microsoft.com/­en-us/­accessdocs.objectbox.io
DeveloperAmazon (based on PostgreSQL)Atos Convergence CreatorsClaris infoa subsidiary of AppleMicrosoftObjectBox Limited
Initial release20122016198319922017
Current release170319.4.1, November 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache License 2.0
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 languageCJavaC++C and C++
Server operating systemshostedLinuxiOS infoclient part only
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsAndroid
iOS
Linux
macOS
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyesyes
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.noyesyes infoA http query request can return the data in XML formatno
Secondary indexesrestrictedyesyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes infovia pluginsyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
ODBC
LDAPFilemaker WebDirect
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsPHPC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyesyes infosince Access 2010 using the ACE-engineno
Triggersnoyesyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication, warm standby infosince Version 14noneonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic 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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationsimple rights management via user accounts and connection to external directory servicesno infoa simple user-level security was built in till version Access 2003yes
More information provided by the system vendor
Amazon RedshiftAtos Standard Common RepositoryFileMakerMicrosoft AccessObjectBox
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More resources
Amazon RedshiftAtos Standard Common RepositoryFileMakerMicrosoft AccessObjectBox
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