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DBMS > Amazon Aurora vs. Apache Impala vs. JaguarDB vs. MaxDB vs. Microsoft Access

System Properties Comparison Amazon Aurora vs. Apache Impala vs. JaguarDB vs. MaxDB vs. Microsoft Access

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonJaguarDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopPerformant, highly scalable DBMS for AI and IoT applicationsA robust and reliable RDBMS optimized to run all major SAP solutionsMicrosoft 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 DBMSRelational DBMSKey-value store
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgwww.jaguardb.commaxdb.sap.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmlwww.jaguardb.com/­support.htmlmaxdb.sap.com/­documentationdeveloper.microsoft.com/­en-us/­access
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaDataJaguar, Inc.SAP, acquired from Software AG (Adabas-D) in 1997Microsoft
Initial release20152013201519841992
Current release4.1.0, June 20223.3 July 20237.9.10.12, February 20241902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGPL V3.0commercial infoLimited community edition freecommercial 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 languageC++C++ infothe server part. Clients available in other languagesC++C++
Server operating systemshostedLinuxLinuxAIX
HP-UX
Linux
Solaris
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyes infobut not compliant to any SQL standard
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
WebDAV
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 supporting JDBC/ODBCC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenoyesyes infosince Access 2010 using the ACE-engine
Triggersyesnonoyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID 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.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosrights management via user accountsfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003

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More resources
Amazon AuroraApache ImpalaJaguarDBMaxDB infoformerly named Adabas-DMicrosoft Access
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