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DBMS > Amazon DynamoDB vs. FatDB vs. Netezza vs. ObjectBox vs. Snowflake

System Properties Comparison Amazon DynamoDB vs. FatDB vs. Netezza vs. ObjectBox vs. Snowflake

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFatDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonObjectBox  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.Data warehouse and analytics appliance part of IBM PureSystemsExtremely fast embedded database for small devices, IoT and MobileCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Key-value store
Document store
Key-value store
Relational DBMSObject oriented DBMSRelational DBMS
Secondary database modelsTime Series 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
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.ibm.com/­products/­netezzaobjectbox.iowww.snowflake.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.objectbox.iodocs.snowflake.net/­manuals/­index.html
DeveloperAmazonFatCloudIBMObjectBox LimitedSnowflake Computing Inc.
Initial release20122012200020172014
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C and C++
Server operating systemshostedWindowsLinux infoincluded in applianceAndroid
iOS
Linux
macOS
Windows
hosted
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.noyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Serveryesnoyes
APIs and other access methodsRESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
OLE DB
Proprietary native APICLI Client
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infovia applicationsyesnouser defined functions
Triggersyes infoby integration with AWS Lambdayes infovia applicationsnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationonline/offline synchronization between client and serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
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 regionnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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 applicationsUsers with fine-grained authorization conceptyesUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
Amazon DynamoDBFatDBNetezza infoAlso called PureData System for Analytics by IBMObjectBoxSnowflake
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More resources
Amazon DynamoDBFatDBNetezza infoAlso called PureData System for Analytics by IBMObjectBoxSnowflake
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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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Bulk update Amazon DynamoDB tables with AWS Step Functions | Amazon Web Services
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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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