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DBMS > Amazon Aurora vs. Apache Impala vs. Drizzle vs. Microsoft Access vs. OrigoDB

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Drizzle vs. Microsoft Access vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOrigoDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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.)A fully ACID in-memory object graph database
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessorigodb.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmldeveloper.microsoft.com/­en-us/­accessorigodb.com/­docs
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerMicrosoftRobert Friberg et al
Initial release20152013200819922009 infounder the name LiveDB
Current release4.1.0, June 20227.2.4, September 20121902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGNU GPLcommercial infoBundled with Microsoft OfficeOpen Source
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++C++C#
Server operating systemshostedLinuxFreeBSD
Linux
OS X
Windows infoNot a real database server, but making use of DLLsLinux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesUser defined using .NET types and collections
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.yesnono infocan be achieved using .NET
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infowith proprietary extensionsyes infobut not compliant to any SQL standardno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBCADO.NET
DAO
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
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++
Java
PHP
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenoyes infosince Access 2010 using the ACE-engineyes
Triggersyesnono infohooks for callbacks inside the server can be used.yes infosince Access 2010 using the ACE-engineyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
noneSource-replica replication
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 Consistency
Foreign keys infoReferential integrityyesnoyesyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID 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 infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoa simple user-level security was built in till version Access 2003Role based authorization

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More resources
Amazon AuroraApache ImpalaDrizzleMicrosoft AccessOrigoDB
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