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DBMS > Amazon Redshift vs. Datomic vs. Microsoft Access

System Properties Comparison Amazon Redshift vs. Datomic vs. Microsoft Access

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMicrosoft 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 DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.86
Rank#32  Overall
#18  Relational DBMS
Score1.84
Rank#125  Overall
#61  Relational DBMS
Score116.94
Rank#11  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.datomic.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comdeveloper.microsoft.com/­en-us/­access
DeveloperAmazon (based on PostgreSQL)CognitectMicrosoft
Initial release201220121992
Current release0.9.5951, July 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ClojureC++
Server operating systemshostedAll OS with a Java VMWindows infoNot a real database server, but making use of DLLs
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIADO.NET
DAO
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction Functionsyes infosince Access 2010 using the ACE-engine
TriggersnoBy using transaction functionsyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes 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.yesyes inforecommended only for testing and development
User concepts infoAccess controlfine grained access rights according to SQL-standardnono infoa simple user-level security was built in till version Access 2003

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More resources
Amazon RedshiftDatomicMicrosoft Access
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