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DBMS > Amazon DynamoDB vs. FatDB vs. Microsoft Access vs. Netezza vs. Snowflake

System Properties Comparison Amazon DynamoDB vs. FatDB vs. Microsoft Access vs. Netezza vs. Snowflake

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFatDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA .NET NoSQL DBMS that can integrate with and extend SQL Server.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.)Data warehouse and analytics appliance part of IBM PureSystemsCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Key-value store
Document store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.microsoft.com/­en-us/­microsoft-365/­accesswww.ibm.com/­products/­netezzawww.snowflake.com
Technical documentationdocs.aws.amazon.com/­dynamodbdeveloper.microsoft.com/­en-us/­accessdocs.snowflake.net/­manuals/­index.html
DeveloperAmazonFatCloudMicrosoftIBMSnowflake Computing Inc.
Initial release20122012199220002014
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial infoBundled with Microsoft Officecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++
Server operating systemshostedWindowsWindows infoNot a real database server, but making use of DLLsLinux infoincluded in appliancehosted
Data schemeschema-freeschema-freeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.yes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Serveryes infobut not compliant to any SQL standardyesyes
APIs and other access methodsRESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infovia applicationsyes infosince Access 2010 using the ACE-engineyesuser defined functions
Triggersyes infoby integration with AWS Lambdayes infovia applicationsyes infosince Access 2010 using the ACE-enginenono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnoACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoCan implement custom security layer via applicationsno infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization conceptUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon DynamoDBFatDBMicrosoft AccessNetezza infoAlso called PureData System for Analytics by IBMSnowflake
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Recent citations in the news

Use Amazon DynamoDB incremental exports to drive continuous data retention | Amazon Web Services
12 June 2024, AWS Blog

AWS announces Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service
28 November 2023, AWS Blog

Simplify cross-account access control with Amazon DynamoDB using resource-based policies | Amazon Web Services
20 March 2024, AWS Blog

Simplify private connectivity to Amazon DynamoDB with AWS PrivateLink | Amazon Web Services
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provided by Google News

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11 November 2023, CybersecurityNews

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7 September 2023, TechiExpert.com

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10 July 2023, Nebraska Medicine

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Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
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10 June 2024, Ars Technica

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