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DBMS > Amazon Redshift vs. Datomic vs. Microsoft Access vs. Netezza vs. NSDb

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

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNSDb  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.)Data warehouse and analytics appliance part of IBM PureSystemsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.03
Rank#34  Overall
#21  Relational DBMS
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Websiteaws.amazon.com/­redshiftwww.datomic.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.ibm.com/­products/­netezzansdb.io
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comdeveloper.microsoft.com/­en-us/­accessnsdb.io/­Architecture
DeveloperAmazon (based on PostgreSQL)CognitectMicrosoftIBM
Initial release20122012199220002017
Current release1.0.6735, June 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infoBundled with Microsoft OfficecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, ClojureC++Java, Scala
Server operating systemshostedAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsLinux infoincluded in applianceLinux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes: int, bigint, decimal, string
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 indexesrestrictedyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes infobut not compliant to any SQL standardyesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction Functionsyes infosince Access 2010 using the ACE-engineyesno
TriggersnoBy using transaction functionsyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersnoneShardingSharding
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 methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infobut no files for transaction loggingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infobut no files for transaction loggingyesUsing Apache Lucene
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 2003Users with fine-grained authorization concept

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More resources
Amazon RedshiftDatomicMicrosoft AccessNetezza infoAlso called PureData System for Analytics by IBMNSDb
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