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DBMS > Amazon Aurora vs. Atos Standard Common Repository vs. Badger vs. JaguarDB vs. Microsoft Access

System Properties Comparison Amazon Aurora vs. Atos Standard Common Repository vs. Badger vs. JaguarDB vs. Microsoft Access

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBadger  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Performant, highly scalable DBMS for AI and IoT applicationsMicrosoft 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 modelRelational DBMSDocument store
Key-value store
Key-value storeKey-value store
Vector DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score0.20
Rank#325  Overall
#49  Key-value stores
Score0.09
Rank#356  Overall
#53  Key-value stores
#13  Vector DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dgraph-io/­badgerwww.jaguardb.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgodoc.org/­github.com/­dgraph-io/­badgerwww.jaguardb.com/­support.htmldeveloper.microsoft.com/­en-us/­access
DeveloperAmazonAtos Convergence CreatorsDGraph LabsDataJaguar, Inc.Microsoft
Initial release20152016201720151992
Current release17033.3 July 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL V3.0commercial infoBundled with Microsoft Office
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 languageJavaGoC++ infothe server part. Clients available in other languagesC++
Server operating systemshostedLinuxBSD
Linux
OS X
Solaris
Windows
LinuxWindows infoNot a real database server, but making use of DLLs
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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.yesyesnono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesnonoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infobut not compliant to any SQL standard
APIs and other access methodsADO.NET
JDBC
ODBC
LDAPJDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages with LDAP bindingsGoC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesnononoyes infosince Access 2010 using the ACE-engine
Triggersyesyesnonoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneMulti-source replicationnone
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 configurationnoneEventual Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnonoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationnorights management via user accountsno infoa simple user-level security was built in till version Access 2003

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More resources
Amazon AuroraAtos Standard Common RepositoryBadgerJaguarDBMicrosoft Access
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