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DBMS > Amazon Redshift vs. Datomic vs. Microsoft Access vs. RethinkDB

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

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRethinkDB  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.)DBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.53
Rank#32  Overall
#18  Relational DBMS
Score1.93
Rank#120  Overall
#59  Relational DBMS
Score113.45
Rank#11  Overall
#7  Relational DBMS
Score3.23
Rank#90  Overall
#16  Document stores
Websiteaws.amazon.com/­redshiftwww.datomic.comwww.microsoft.com/­en-us/­microsoft-365/­accessrethinkdb.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comdeveloper.microsoft.com/­en-us/­accessrethinkdb.com/­docs
DeveloperAmazon (based on PostgreSQL)CognitectMicrosoftThe Linux Foundation infosince July 2017
Initial release2012201219922009
Current release0.9.5951, July 20191902 (16.0.11328.20222), March 20192.4.1, August 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, ClojureC++C++
Server operating systemshostedAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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.nonono
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes infobut not compliant to any SQL standardno
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
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
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-engineClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersnoneSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infobut no files for transaction loggingAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes 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.yesyes inforecommended only for testing and developmentno
User concepts infoAccess controlfine grained access rights according to SQL-standardnono infoa simple user-level security was built in till version Access 2003yes infousers and table-level permissions

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More resources
Amazon RedshiftDatomicMicrosoft AccessRethinkDB
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