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DBMS > Amazon DynamoDB vs. H2 vs. Microsoft SQL Server vs. Netezza

System Properties Comparison Amazon DynamoDB vs. H2 vs. Microsoft SQL Server vs. Netezza

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Microsofts flagship relational DBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.57
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.h2database.comwww.microsoft.com/­en-us/­sql-serverwww.ibm.com/­products/­netezza
Technical documentationdocs.aws.amazon.com/­dynamodbwww.h2database.com/­html/­main.htmllearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperAmazonThomas MuellerMicrosoftIBM
Initial release2012200519892000
Current release2.2.220, July 2023SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMLinux
Windows
Linux infoincluded in appliance
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
OLE DB
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
JavaC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersyes infoby integration with AWS Lambdayesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
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 regionACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Amazon DynamoDBH2Microsoft SQL ServerNetezza infoAlso called PureData System for Analytics by IBM
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Recent citations in the news

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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

A new and improved AWS CDK construct for Amazon DynamoDB tables | Amazon Web Services
31 January 2024, AWS Blog

Bulk update Amazon DynamoDB tables with AWS Step Functions | Amazon Web Services
20 March 2024, AWS Blog

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19 March 2024, AWS Blog

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IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
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27 May 2020, AWS Blog

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